diff --git a/compare/damo-yolo-vs-efficientdet/index.html b/compare/damo-yolo-vs-efficientdet/index.html
index a7b82b083..8901d5e54 100644
--- a/compare/damo-yolo-vs-efficientdet/index.html
+++ b/compare/damo-yolo-vs-efficientdet/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="DAMO-YOLO vs EfficientDet: A Technical Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="DAMO-YOLO,EfficientDet,object detection,model comparison,computer vision,real-time detection,performance metrics,TensorRT,YOLO" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/damo-yolo-vs-efficientdet" property="og:url"/><meta content="DAMO-YOLO vs EfficientDet: A Technical Comparison" property="og:title"/><meta content="Explore a detailed technical comparison of DAMO-YOLO and EfficientDet, focusing on performance, architecture, and use cases for object detection tasks." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/damo-yolo-vs-efficientdet" property="twitter:url"/><meta content="DAMO-YOLO vs EfficientDet: A Technical Comparison" property="twitter:title"/><meta content="Explore a detailed technical comparison of DAMO-YOLO and EfficientDet, focusing on performance, architecture, and use cases for object detection tasks." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "DAMO-YOLO vs EfficientDet: A Technical Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore a detailed technical comparison of DAMO-YOLO and EfficientDet, focusing on performance, architecture, and use cases for object detection tasks."}</script></head>
+<meta content="DAMO-YOLO vs EfficientDet: A Technical Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="DAMO-YOLO,EfficientDet,object detection,model comparison,computer vision,real-time detection,performance metrics,TensorRT,YOLO" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/damo-yolo-vs-efficientdet" property="og:url"/><meta content="DAMO-YOLO vs EfficientDet: A Technical Comparison" property="og:title"/><meta content="Explore a detailed technical comparison of DAMO-YOLO and EfficientDet, focusing on performance, architecture, and use cases for object detection tasks." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/damo-yolo-vs-efficientdet" property="twitter:url"/><meta content="DAMO-YOLO vs EfficientDet: A Technical Comparison" property="twitter:title"/><meta content="Explore a detailed technical comparison of DAMO-YOLO and EfficientDet, focusing on performance, architecture, and use cases for object detection tasks." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "DAMO-YOLO vs EfficientDet: A Technical Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore a detailed technical comparison of DAMO-YOLO and EfficientDet, focusing on performance, architecture, and use cases for object detection tasks."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/damo-yolo-vs-pp-yoloe/index.html b/compare/damo-yolo-vs-pp-yoloe/index.html
index 74eb4cd6b..9fb07a36b 100644
--- a/compare/damo-yolo-vs-pp-yoloe/index.html
+++ b/compare/damo-yolo-vs-pp-yoloe/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="DAMO-YOLO vs PP-YOLOE+: A Technical Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="DAMO-YOLO, PP-YOLOE+, object detection, model comparison, computer vision, YOLO models, real-time inference, high-accuracy models, edge computing" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/damo-yolo-vs-pp-yoloe" property="og:url"/><meta content="DAMO-YOLO vs PP-YOLOE+: A Technical Comparison" property="og:title"/><meta content="Compare DAMO-YOLO and PP-YOLOE+ object detection models. Explore performance, accuracy, and suitability for real-time and high-precision use cases." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/damo-yolo-vs-pp-yoloe" property="twitter:url"/><meta content="DAMO-YOLO vs PP-YOLOE+: A Technical Comparison" property="twitter:title"/><meta content="Compare DAMO-YOLO and PP-YOLOE+ object detection models. Explore performance, accuracy, and suitability for real-time and high-precision use cases." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "DAMO-YOLO vs PP-YOLOE+: A Technical Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare DAMO-YOLO and PP-YOLOE+ object detection models. Explore performance, accuracy, and suitability for real-time and high-precision use cases."}</script></head>
+<meta content="DAMO-YOLO vs PP-YOLOE+: A Technical Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="DAMO-YOLO, PP-YOLOE+, object detection, model comparison, computer vision, YOLO models, real-time inference, high-accuracy models, edge computing" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/damo-yolo-vs-pp-yoloe" property="og:url"/><meta content="DAMO-YOLO vs PP-YOLOE+: A Technical Comparison" property="og:title"/><meta content="Compare DAMO-YOLO and PP-YOLOE+ object detection models. Explore performance, accuracy, and suitability for real-time and high-precision use cases." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/damo-yolo-vs-pp-yoloe" property="twitter:url"/><meta content="DAMO-YOLO vs PP-YOLOE+: A Technical Comparison" property="twitter:title"/><meta content="Compare DAMO-YOLO and PP-YOLOE+ object detection models. Explore performance, accuracy, and suitability for real-time and high-precision use cases." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "DAMO-YOLO vs PP-YOLOE+: A Technical Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare DAMO-YOLO and PP-YOLOE+ object detection models. Explore performance, accuracy, and suitability for real-time and high-precision use cases."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/damo-yolo-vs-rtdetr/index.html b/compare/damo-yolo-vs-rtdetr/index.html
index 906913c2c..7675cb464 100644
--- a/compare/damo-yolo-vs-rtdetr/index.html
+++ b/compare/damo-yolo-vs-rtdetr/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="Model Comparison: DAMO-YOLO vs RTDETRv2 for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="DAMO-YOLO, RTDETRv2, object detection, Vision Transformer, real-time detection, YOLO models, computer vision, model comparison, machine learning" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/damo-yolo-vs-rtdetr" property="og:url"/><meta content="Model Comparison: DAMO-YOLO vs RTDETRv2 for Object Detection" property="og:title"/><meta content="Compare DAMO-YOLO and RTDETRv2 for object detection. Learn about their performance, strengths, weaknesses, and best use cases for your vision tasks." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/damo-yolo-vs-rtdetr" property="twitter:url"/><meta content="Model Comparison: DAMO-YOLO vs RTDETRv2 for Object Detection" property="twitter:title"/><meta content="Compare DAMO-YOLO and RTDETRv2 for object detection. Learn about their performance, strengths, weaknesses, and best use cases for your vision tasks." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "Model Comparison: DAMO-YOLO vs RTDETRv2 for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare DAMO-YOLO and RTDETRv2 for object detection. Learn about their performance, strengths, weaknesses, and best use cases for your vision tasks."}</script></head>
+<meta content="Model Comparison: DAMO-YOLO vs RTDETRv2 for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="DAMO-YOLO, RTDETRv2, object detection, Vision Transformer, real-time detection, YOLO models, computer vision, model comparison, machine learning" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/damo-yolo-vs-rtdetr" property="og:url"/><meta content="Model Comparison: DAMO-YOLO vs RTDETRv2 for Object Detection" property="og:title"/><meta content="Compare DAMO-YOLO and RTDETRv2 for object detection. Learn about their performance, strengths, weaknesses, and best use cases for your vision tasks." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/damo-yolo-vs-rtdetr" property="twitter:url"/><meta content="Model Comparison: DAMO-YOLO vs RTDETRv2 for Object Detection" property="twitter:title"/><meta content="Compare DAMO-YOLO and RTDETRv2 for object detection. Learn about their performance, strengths, weaknesses, and best use cases for your vision tasks." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "Model Comparison: DAMO-YOLO vs RTDETRv2 for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare DAMO-YOLO and RTDETRv2 for object detection. Learn about their performance, strengths, weaknesses, and best use cases for your vision tasks."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/damo-yolo-vs-yolo11/index.html b/compare/damo-yolo-vs-yolo11/index.html
index 0ab1c5204..e3e6cd4e1 100644
--- a/compare/damo-yolo-vs-yolo11/index.html
+++ b/compare/damo-yolo-vs-yolo11/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="DAMO-YOLO vs YOLO11: A Detailed Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="DAMO-YOLO, YOLO11, object detection, model comparison, computer vision, Ultralytics YOLO, DAMO Academy, accuracy, performance benchmarking, real-time AI" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/damo-yolo-vs-yolo11" property="og:url"/><meta content="DAMO-YOLO vs YOLO11: A Detailed Comparison" property="og:title"/><meta content="Compare DAMO-YOLO and YOLO11 in object detection. Explore performance, accuracy, use cases, and architectural differences to choose the best model." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/damo-yolo-vs-yolo11" property="twitter:url"/><meta content="DAMO-YOLO vs YOLO11: A Detailed Comparison" property="twitter:title"/><meta content="Compare DAMO-YOLO and YOLO11 in object detection. Explore performance, accuracy, use cases, and architectural differences to choose the best model." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "DAMO-YOLO vs YOLO11: A Detailed Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare DAMO-YOLO and YOLO11 in object detection. Explore performance, accuracy, use cases, and architectural differences to choose the best model."}</script></head>
+<meta content="DAMO-YOLO vs YOLO11: A Detailed Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="DAMO-YOLO, YOLO11, object detection, model comparison, computer vision, Ultralytics YOLO, DAMO Academy, accuracy, performance benchmarking, real-time AI" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/damo-yolo-vs-yolo11" property="og:url"/><meta content="DAMO-YOLO vs YOLO11: A Detailed Comparison" property="og:title"/><meta content="Compare DAMO-YOLO and YOLO11 in object detection. Explore performance, accuracy, use cases, and architectural differences to choose the best model." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/damo-yolo-vs-yolo11" property="twitter:url"/><meta content="DAMO-YOLO vs YOLO11: A Detailed Comparison" property="twitter:title"/><meta content="Compare DAMO-YOLO and YOLO11 in object detection. Explore performance, accuracy, use cases, and architectural differences to choose the best model." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "DAMO-YOLO vs YOLO11: A Detailed Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare DAMO-YOLO and YOLO11 in object detection. Explore performance, accuracy, use cases, and architectural differences to choose the best model."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/damo-yolo-vs-yolov10/index.html b/compare/damo-yolo-vs-yolov10/index.html
index a22befe2b..e97e50ed2 100644
--- a/compare/damo-yolo-vs-yolov10/index.html
+++ b/compare/damo-yolo-vs-yolov10/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="DAMO-YOLO vs YOLOv10: A Technical Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="DAMO-YOLO, YOLOv10, Ultralytics, object detection, model comparison, AI benchmarks, deep learning, computer vision, mAP, inference speed" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/damo-yolo-vs-yolov10" property="og:url"/><meta content="DAMO-YOLO vs YOLOv10: A Technical Comparison" property="og:title"/><meta content="Compare DAMO-YOLO and YOLOv10 models in accuracy, speed, and efficiency. Discover their strengths, weaknesses, and use cases in object detection." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/damo-yolo-vs-yolov10" property="twitter:url"/><meta content="DAMO-YOLO vs YOLOv10: A Technical Comparison" property="twitter:title"/><meta content="Compare DAMO-YOLO and YOLOv10 models in accuracy, speed, and efficiency. Discover their strengths, weaknesses, and use cases in object detection." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "DAMO-YOLO vs YOLOv10: A Technical Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare DAMO-YOLO and YOLOv10 models in accuracy, speed, and efficiency. Discover their strengths, weaknesses, and use cases in object detection."}</script></head>
+<meta content="DAMO-YOLO vs YOLOv10: A Technical Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="DAMO-YOLO, YOLOv10, Ultralytics, object detection, model comparison, AI benchmarks, deep learning, computer vision, mAP, inference speed" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/damo-yolo-vs-yolov10" property="og:url"/><meta content="DAMO-YOLO vs YOLOv10: A Technical Comparison" property="og:title"/><meta content="Compare DAMO-YOLO and YOLOv10 models in accuracy, speed, and efficiency. Discover their strengths, weaknesses, and use cases in object detection." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/damo-yolo-vs-yolov10" property="twitter:url"/><meta content="DAMO-YOLO vs YOLOv10: A Technical Comparison" property="twitter:title"/><meta content="Compare DAMO-YOLO and YOLOv10 models in accuracy, speed, and efficiency. Discover their strengths, weaknesses, and use cases in object detection." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "DAMO-YOLO vs YOLOv10: A Technical Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare DAMO-YOLO and YOLOv10 models in accuracy, speed, and efficiency. Discover their strengths, weaknesses, and use cases in object detection."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/damo-yolo-vs-yolov5/index.html b/compare/damo-yolo-vs-yolov5/index.html
index 5c76bb162..e706c0e0a 100644
--- a/compare/damo-yolo-vs-yolov5/index.html
+++ b/compare/damo-yolo-vs-yolov5/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="DAMO-YOLO vs YOLOv5: A Technical Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="DAMO-YOLO, YOLOv5, object detection, model comparison, accuracy, inference speed, anchor-free, anchor-based, Ultralytics, real-time applications" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/damo-yolo-vs-yolov5" property="og:url"/><meta content="DAMO-YOLO vs YOLOv5: A Technical Comparison for Object Detection" property="og:title"/><meta content="Discover the strengths, weaknesses, and performance metrics of DAMO-YOLO and YOLOv5 in this comprehensive comparison for object detection models." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/damo-yolo-vs-yolov5" property="twitter:url"/><meta content="DAMO-YOLO vs YOLOv5: A Technical Comparison for Object Detection" property="twitter:title"/><meta content="Discover the strengths, weaknesses, and performance metrics of DAMO-YOLO and YOLOv5 in this comprehensive comparison for object detection models." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "DAMO-YOLO vs YOLOv5: A Technical Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Discover the strengths, weaknesses, and performance metrics of DAMO-YOLO and YOLOv5 in this comprehensive comparison for object detection models."}</script></head>
+<meta content="DAMO-YOLO vs YOLOv5: A Technical Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="DAMO-YOLO, YOLOv5, object detection, model comparison, accuracy, inference speed, anchor-free, anchor-based, Ultralytics, real-time applications" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/damo-yolo-vs-yolov5" property="og:url"/><meta content="DAMO-YOLO vs YOLOv5: A Technical Comparison for Object Detection" property="og:title"/><meta content="Discover the strengths, weaknesses, and performance metrics of DAMO-YOLO and YOLOv5 in this comprehensive comparison for object detection models." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/damo-yolo-vs-yolov5" property="twitter:url"/><meta content="DAMO-YOLO vs YOLOv5: A Technical Comparison for Object Detection" property="twitter:title"/><meta content="Discover the strengths, weaknesses, and performance metrics of DAMO-YOLO and YOLOv5 in this comprehensive comparison for object detection models." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "DAMO-YOLO vs YOLOv5: A Technical Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Discover the strengths, weaknesses, and performance metrics of DAMO-YOLO and YOLOv5 in this comprehensive comparison for object detection models."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/damo-yolo-vs-yolov6/index.html b/compare/damo-yolo-vs-yolov6/index.html
index bf23ad4ca..3a61f97de 100644
--- a/compare/damo-yolo-vs-yolov6/index.html
+++ b/compare/damo-yolo-vs-yolov6/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="DAMO-YOLO vs YOLOv6-3.0: A Technical Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="DAMO-YOLO, YOLOv6-3.0, object detection, model comparison, real-time AI, computer vision, Ultralytics, efficiency, accuracy" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/damo-yolo-vs-yolov6" property="og:url"/><meta content="DAMO-YOLO vs YOLOv6-3.0: A Technical Comparison" property="og:title"/><meta content="Explore the technical comparison of DAMO-YOLO and YOLOv6-3.0, analyzing accuracy, speed, architecture, and use cases in real-time object detection." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/damo-yolo-vs-yolov6" property="twitter:url"/><meta content="DAMO-YOLO vs YOLOv6-3.0: A Technical Comparison" property="twitter:title"/><meta content="Explore the technical comparison of DAMO-YOLO and YOLOv6-3.0, analyzing accuracy, speed, architecture, and use cases in real-time object detection." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "DAMO-YOLO vs YOLOv6-3.0: A Technical Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore the technical comparison of DAMO-YOLO and YOLOv6-3.0, analyzing accuracy, speed, architecture, and use cases in real-time object detection."}</script></head>
+<meta content="DAMO-YOLO vs YOLOv6-3.0: A Technical Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="DAMO-YOLO, YOLOv6-3.0, object detection, model comparison, real-time AI, computer vision, Ultralytics, efficiency, accuracy" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/damo-yolo-vs-yolov6" property="og:url"/><meta content="DAMO-YOLO vs YOLOv6-3.0: A Technical Comparison" property="og:title"/><meta content="Explore the technical comparison of DAMO-YOLO and YOLOv6-3.0, analyzing accuracy, speed, architecture, and use cases in real-time object detection." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/damo-yolo-vs-yolov6" property="twitter:url"/><meta content="DAMO-YOLO vs YOLOv6-3.0: A Technical Comparison" property="twitter:title"/><meta content="Explore the technical comparison of DAMO-YOLO and YOLOv6-3.0, analyzing accuracy, speed, architecture, and use cases in real-time object detection." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "DAMO-YOLO vs YOLOv6-3.0: A Technical Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore the technical comparison of DAMO-YOLO and YOLOv6-3.0, analyzing accuracy, speed, architecture, and use cases in real-time object detection."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/damo-yolo-vs-yolov7/index.html b/compare/damo-yolo-vs-yolov7/index.html
index 12c2ea044..01e03fdd9 100644
--- a/compare/damo-yolo-vs-yolov7/index.html
+++ b/compare/damo-yolo-vs-yolov7/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="DAMO-YOLO vs YOLOv7: A Technical Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="DAMO-YOLO, YOLOv7, object detection models, YOLO family, computer vision, model comparison, real-time detection, deep learning, Ultralytics" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/damo-yolo-vs-yolov7" property="og:url"/><meta content="DAMO-YOLO vs YOLOv7: A Technical Comparison" property="og:title"/><meta content="Discover the key differences between DAMO-YOLO and YOLOv7, comparing accuracy, speed, architecture, and performance for optimal object detection." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/damo-yolo-vs-yolov7" property="twitter:url"/><meta content="DAMO-YOLO vs YOLOv7: A Technical Comparison" property="twitter:title"/><meta content="Discover the key differences between DAMO-YOLO and YOLOv7, comparing accuracy, speed, architecture, and performance for optimal object detection." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "DAMO-YOLO vs YOLOv7: A Technical Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Discover the key differences between DAMO-YOLO and YOLOv7, comparing accuracy, speed, architecture, and performance for optimal object detection."}</script></head>
+<meta content="DAMO-YOLO vs YOLOv7: A Technical Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="DAMO-YOLO, YOLOv7, object detection models, YOLO family, computer vision, model comparison, real-time detection, deep learning, Ultralytics" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/damo-yolo-vs-yolov7" property="og:url"/><meta content="DAMO-YOLO vs YOLOv7: A Technical Comparison" property="og:title"/><meta content="Discover the key differences between DAMO-YOLO and YOLOv7, comparing accuracy, speed, architecture, and performance for optimal object detection." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/damo-yolo-vs-yolov7" property="twitter:url"/><meta content="DAMO-YOLO vs YOLOv7: A Technical Comparison" property="twitter:title"/><meta content="Discover the key differences between DAMO-YOLO and YOLOv7, comparing accuracy, speed, architecture, and performance for optimal object detection." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "DAMO-YOLO vs YOLOv7: A Technical Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Discover the key differences between DAMO-YOLO and YOLOv7, comparing accuracy, speed, architecture, and performance for optimal object detection."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/damo-yolo-vs-yolov8/index.html b/compare/damo-yolo-vs-yolov8/index.html
index 94a030595..a19092391 100644
--- a/compare/damo-yolo-vs-yolov8/index.html
+++ b/compare/damo-yolo-vs-yolov8/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="DAMO-YOLO vs YOLOv8: A Technical Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="DAMO-YOLO, YOLOv8, object detection, model comparison, computer vision, AI models, YOLO series, DAMO Academy, Ultralytics, performance metrics" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/damo-yolo-vs-yolov8" property="og:url"/><meta content="DAMO-YOLO vs YOLOv8: A Technical Comparison for Object Detection" property="og:title"/><meta content="Compare DAMO-YOLO and YOLOv8 in object detection, from performance and architecture to use cases. Discover the best model for your project." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/damo-yolo-vs-yolov8" property="twitter:url"/><meta content="DAMO-YOLO vs YOLOv8: A Technical Comparison for Object Detection" property="twitter:title"/><meta content="Compare DAMO-YOLO and YOLOv8 in object detection, from performance and architecture to use cases. Discover the best model for your project." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "DAMO-YOLO vs YOLOv8: A Technical Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare DAMO-YOLO and YOLOv8 in object detection, from performance and architecture to use cases. Discover the best model for your project."}</script></head>
+<meta content="DAMO-YOLO vs YOLOv8: A Technical Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="DAMO-YOLO, YOLOv8, object detection, model comparison, computer vision, AI models, YOLO series, DAMO Academy, Ultralytics, performance metrics" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/damo-yolo-vs-yolov8" property="og:url"/><meta content="DAMO-YOLO vs YOLOv8: A Technical Comparison for Object Detection" property="og:title"/><meta content="Compare DAMO-YOLO and YOLOv8 in object detection, from performance and architecture to use cases. Discover the best model for your project." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/damo-yolo-vs-yolov8" property="twitter:url"/><meta content="DAMO-YOLO vs YOLOv8: A Technical Comparison for Object Detection" property="twitter:title"/><meta content="Compare DAMO-YOLO and YOLOv8 in object detection, from performance and architecture to use cases. Discover the best model for your project." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "DAMO-YOLO vs YOLOv8: A Technical Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare DAMO-YOLO and YOLOv8 in object detection, from performance and architecture to use cases. Discover the best model for your project."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/damo-yolo-vs-yolov9/index.html b/compare/damo-yolo-vs-yolov9/index.html
index bca3552ee..3dcaa1e64 100644
--- a/compare/damo-yolo-vs-yolov9/index.html
+++ b/compare/damo-yolo-vs-yolov9/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="Model Comparison: DAMO-YOLO vs YOLOv9" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="DAMO-YOLO, YOLOv9, object detection, model comparison, computer vision, deep learning, machine learning, real-time inference, Ultralytics" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/damo-yolo-vs-yolov9" property="og:url"/><meta content="Model Comparison: DAMO-YOLO vs YOLOv9" property="og:title"/><meta content="Compare DAMO-YOLO and YOLOv9 on accuracy, speed, and use cases. Discover which object detection model best suits your computer vision needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/damo-yolo-vs-yolov9" property="twitter:url"/><meta content="Model Comparison: DAMO-YOLO vs YOLOv9" property="twitter:title"/><meta content="Compare DAMO-YOLO and YOLOv9 on accuracy, speed, and use cases. Discover which object detection model best suits your computer vision needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "Model Comparison: DAMO-YOLO vs YOLOv9", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare DAMO-YOLO and YOLOv9 on accuracy, speed, and use cases. Discover which object detection model best suits your computer vision needs."}</script></head>
+<meta content="Model Comparison: DAMO-YOLO vs YOLOv9" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="DAMO-YOLO, YOLOv9, object detection, model comparison, computer vision, deep learning, machine learning, real-time inference, Ultralytics" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/damo-yolo-vs-yolov9" property="og:url"/><meta content="Model Comparison: DAMO-YOLO vs YOLOv9" property="og:title"/><meta content="Compare DAMO-YOLO and YOLOv9 on accuracy, speed, and use cases. Discover which object detection model best suits your computer vision needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/damo-yolo-vs-yolov9" property="twitter:url"/><meta content="Model Comparison: DAMO-YOLO vs YOLOv9" property="twitter:title"/><meta content="Compare DAMO-YOLO and YOLOv9 on accuracy, speed, and use cases. Discover which object detection model best suits your computer vision needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "Model Comparison: DAMO-YOLO vs YOLOv9", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare DAMO-YOLO and YOLOv9 on accuracy, speed, and use cases. Discover which object detection model best suits your computer vision needs."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/damo-yolo-vs-yolox/index.html b/compare/damo-yolo-vs-yolox/index.html
index af403e97e..a1d5d0769 100644
--- a/compare/damo-yolo-vs-yolox/index.html
+++ b/compare/damo-yolo-vs-yolox/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="DAMO-YOLO vs YOLOX: A Detailed Technical Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="DAMO-YOLO,YOLOX,object detection,computer vision,model comparison,AI models,machine learning,YOLO,benchmarks,inference speed,performance metrics" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/damo-yolo-vs-yolox" property="og:url"/><meta content="DAMO-YOLO vs YOLOX: A Detailed Technical Comparison for Object Detection" property="og:title"/><meta content="Detailed technical comparison of DAMO-YOLO and YOLOX models. Explore architectures, benchmarks, and performance to choose the best for your needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/damo-yolo-vs-yolox" property="twitter:url"/><meta content="DAMO-YOLO vs YOLOX: A Detailed Technical Comparison for Object Detection" property="twitter:title"/><meta content="Detailed technical comparison of DAMO-YOLO and YOLOX models. Explore architectures, benchmarks, and performance to choose the best for your needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "DAMO-YOLO vs YOLOX: A Detailed Technical Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Detailed technical comparison of DAMO-YOLO and YOLOX models. Explore architectures, benchmarks, and performance to choose the best for your needs."}</script></head>
+<meta content="DAMO-YOLO vs YOLOX: A Detailed Technical Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="DAMO-YOLO,YOLOX,object detection,computer vision,model comparison,AI models,machine learning,YOLO,benchmarks,inference speed,performance metrics" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/damo-yolo-vs-yolox" property="og:url"/><meta content="DAMO-YOLO vs YOLOX: A Detailed Technical Comparison for Object Detection" property="og:title"/><meta content="Detailed technical comparison of DAMO-YOLO and YOLOX models. Explore architectures, benchmarks, and performance to choose the best for your needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/damo-yolo-vs-yolox" property="twitter:url"/><meta content="DAMO-YOLO vs YOLOX: A Detailed Technical Comparison for Object Detection" property="twitter:title"/><meta content="Detailed technical comparison of DAMO-YOLO and YOLOX models. Explore architectures, benchmarks, and performance to choose the best for your needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "DAMO-YOLO vs YOLOX: A Detailed Technical Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Detailed technical comparison of DAMO-YOLO and YOLOX models. Explore architectures, benchmarks, and performance to choose the best for your needs."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/efficientdet-vs-damo-yolo/index.html b/compare/efficientdet-vs-damo-yolo/index.html
index d175acaac..aeaebc3ba 100644
--- a/compare/efficientdet-vs-damo-yolo/index.html
+++ b/compare/efficientdet-vs-damo-yolo/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="EfficientDet vs. DAMO-YOLO: A Technical Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="EfficientDet, DAMO-YOLO, object detection, model comparison, computer vision, Ultralytics, mAP, inference speed, real-time detection" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/efficientdet-vs-damo-yolo" property="og:url"/><meta content="EfficientDet vs. DAMO-YOLO: A Technical Comparison for Object Detection" property="og:title"/><meta content="Explore a detailed technical comparison of EfficientDet and DAMO-YOLO. Discover their architectures, performance metrics, and ideal use cases." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/efficientdet-vs-damo-yolo" property="twitter:url"/><meta content="EfficientDet vs. DAMO-YOLO: A Technical Comparison for Object Detection" property="twitter:title"/><meta content="Explore a detailed technical comparison of EfficientDet and DAMO-YOLO. Discover their architectures, performance metrics, and ideal use cases." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "EfficientDet vs. DAMO-YOLO: A Technical Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore a detailed technical comparison of EfficientDet and DAMO-YOLO. Discover their architectures, performance metrics, and ideal use cases."}</script></head>
+<meta content="EfficientDet vs. DAMO-YOLO: A Technical Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="EfficientDet, DAMO-YOLO, object detection, model comparison, computer vision, Ultralytics, mAP, inference speed, real-time detection" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/efficientdet-vs-damo-yolo" property="og:url"/><meta content="EfficientDet vs. DAMO-YOLO: A Technical Comparison for Object Detection" property="og:title"/><meta content="Explore a detailed technical comparison of EfficientDet and DAMO-YOLO. Discover their architectures, performance metrics, and ideal use cases." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/efficientdet-vs-damo-yolo" property="twitter:url"/><meta content="EfficientDet vs. DAMO-YOLO: A Technical Comparison for Object Detection" property="twitter:title"/><meta content="Explore a detailed technical comparison of EfficientDet and DAMO-YOLO. Discover their architectures, performance metrics, and ideal use cases." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "EfficientDet vs. DAMO-YOLO: A Technical Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore a detailed technical comparison of EfficientDet and DAMO-YOLO. Discover their architectures, performance metrics, and ideal use cases."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/efficientdet-vs-pp-yoloe/index.html b/compare/efficientdet-vs-pp-yoloe/index.html
index d44fde030..796a12ed8 100644
--- a/compare/efficientdet-vs-pp-yoloe/index.html
+++ b/compare/efficientdet-vs-pp-yoloe/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="EfficientDet vs PP-YOLOE+: A Technical Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="EfficientDet, PP-YOLOE+, object detection, model comparison, EfficientDet vs PP-YOLOE+, computer vision, real-time detection, AI models, machine learning, Ultralytics" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/efficientdet-vs-pp-yoloe" property="og:url"/><meta content="EfficientDet vs PP-YOLOE+: A Technical Comparison" property="og:title"/><meta content="Explore a detailed comparison of EfficientDet and PP-YOLOE+ object detection models. Learn their strengths, weaknesses, use cases, and performance metrics." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/efficientdet-vs-pp-yoloe" property="twitter:url"/><meta content="EfficientDet vs PP-YOLOE+: A Technical Comparison" property="twitter:title"/><meta content="Explore a detailed comparison of EfficientDet and PP-YOLOE+ object detection models. Learn their strengths, weaknesses, use cases, and performance metrics." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "EfficientDet vs PP-YOLOE+: A Technical Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore a detailed comparison of EfficientDet and PP-YOLOE+ object detection models. Learn their strengths, weaknesses, use cases, and performance metrics."}</script></head>
+<meta content="EfficientDet vs PP-YOLOE+: A Technical Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="EfficientDet, PP-YOLOE+, object detection, model comparison, EfficientDet vs PP-YOLOE+, computer vision, real-time detection, AI models, machine learning, Ultralytics" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/efficientdet-vs-pp-yoloe" property="og:url"/><meta content="EfficientDet vs PP-YOLOE+: A Technical Comparison" property="og:title"/><meta content="Explore a detailed comparison of EfficientDet and PP-YOLOE+ object detection models. Learn their strengths, weaknesses, use cases, and performance metrics." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/efficientdet-vs-pp-yoloe" property="twitter:url"/><meta content="EfficientDet vs PP-YOLOE+: A Technical Comparison" property="twitter:title"/><meta content="Explore a detailed comparison of EfficientDet and PP-YOLOE+ object detection models. Learn their strengths, weaknesses, use cases, and performance metrics." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "EfficientDet vs PP-YOLOE+: A Technical Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore a detailed comparison of EfficientDet and PP-YOLOE+ object detection models. Learn their strengths, weaknesses, use cases, and performance metrics."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/efficientdet-vs-rtdetr/index.html b/compare/efficientdet-vs-rtdetr/index.html
index 33d88dfcc..3ff52ccae 100644
--- a/compare/efficientdet-vs-rtdetr/index.html
+++ b/compare/efficientdet-vs-rtdetr/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="Model Comparison: EfficientDet vs RTDETRv2" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="EfficientDet,RTDETRv2,object detection,model comparison,Ultralytics,Yolo,real-time detection,transformer models,EfficientNet,BiFPN" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/efficientdet-vs-rtdetr" property="og:url"/><meta content="Model Comparison: EfficientDet vs RTDETRv2" property="og:title"/><meta content="Compare EfficientDet and RTDETRv2 object detection models. Discover their strengths, weaknesses, and ideal use cases for optimal deployment." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/efficientdet-vs-rtdetr" property="twitter:url"/><meta content="Model Comparison: EfficientDet vs RTDETRv2" property="twitter:title"/><meta content="Compare EfficientDet and RTDETRv2 object detection models. Discover their strengths, weaknesses, and ideal use cases for optimal deployment." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "Model Comparison: EfficientDet vs RTDETRv2", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare EfficientDet and RTDETRv2 object detection models. Discover their strengths, weaknesses, and ideal use cases for optimal deployment."}</script></head>
+<meta content="Model Comparison: EfficientDet vs RTDETRv2" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="EfficientDet,RTDETRv2,object detection,model comparison,Ultralytics,Yolo,real-time detection,transformer models,EfficientNet,BiFPN" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/efficientdet-vs-rtdetr" property="og:url"/><meta content="Model Comparison: EfficientDet vs RTDETRv2" property="og:title"/><meta content="Compare EfficientDet and RTDETRv2 object detection models. Discover their strengths, weaknesses, and ideal use cases for optimal deployment." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/efficientdet-vs-rtdetr" property="twitter:url"/><meta content="Model Comparison: EfficientDet vs RTDETRv2" property="twitter:title"/><meta content="Compare EfficientDet and RTDETRv2 object detection models. Discover their strengths, weaknesses, and ideal use cases for optimal deployment." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "Model Comparison: EfficientDet vs RTDETRv2", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare EfficientDet and RTDETRv2 object detection models. Discover their strengths, weaknesses, and ideal use cases for optimal deployment."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/efficientdet-vs-yolo11/index.html b/compare/efficientdet-vs-yolo11/index.html
index 743597b73..88225eb4e 100644
--- a/compare/efficientdet-vs-yolo11/index.html
+++ b/compare/efficientdet-vs-yolo11/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="Model Comparison: EfficientDet vs YOLO11 for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="EfficientDet, YOLO11, object detection, real-time detection, model comparison, machine learning, computer vision, deep learning, accuracy, speed, scalability" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/efficientdet-vs-yolo11" property="og:url"/><meta content="Model Comparison: EfficientDet vs YOLO11 for Object Detection" property="og:title"/><meta content="Explore a detailed comparison of EfficientDet and YOLO11 for object detection. Learn about their architecture, performance, and best use cases." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/efficientdet-vs-yolo11" property="twitter:url"/><meta content="Model Comparison: EfficientDet vs YOLO11 for Object Detection" property="twitter:title"/><meta content="Explore a detailed comparison of EfficientDet and YOLO11 for object detection. Learn about their architecture, performance, and best use cases." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "Model Comparison: EfficientDet vs YOLO11 for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore a detailed comparison of EfficientDet and YOLO11 for object detection. Learn about their architecture, performance, and best use cases."}</script></head>
+<meta content="Model Comparison: EfficientDet vs YOLO11 for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="EfficientDet, YOLO11, object detection, real-time detection, model comparison, machine learning, computer vision, deep learning, accuracy, speed, scalability" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/efficientdet-vs-yolo11" property="og:url"/><meta content="Model Comparison: EfficientDet vs YOLO11 for Object Detection" property="og:title"/><meta content="Explore a detailed comparison of EfficientDet and YOLO11 for object detection. Learn about their architecture, performance, and best use cases." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/efficientdet-vs-yolo11" property="twitter:url"/><meta content="Model Comparison: EfficientDet vs YOLO11 for Object Detection" property="twitter:title"/><meta content="Explore a detailed comparison of EfficientDet and YOLO11 for object detection. Learn about their architecture, performance, and best use cases." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "Model Comparison: EfficientDet vs YOLO11 for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore a detailed comparison of EfficientDet and YOLO11 for object detection. Learn about their architecture, performance, and best use cases."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/efficientdet-vs-yolov10/index.html b/compare/efficientdet-vs-yolov10/index.html
index 785bb0491..7cb9d867b 100644
--- a/compare/efficientdet-vs-yolov10/index.html
+++ b/compare/efficientdet-vs-yolov10/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="EfficientDet vs YOLOv10: A Detailed Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="EfficientDet, YOLOv10, object detection, model comparison, machine learning, real-time detection, computer vision, Ultralytics, efficiency, accuracy" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/efficientdet-vs-yolov10" property="og:url"/><meta content="EfficientDet vs YOLOv10: A Detailed Comparison" property="og:title"/><meta content="Compare EfficientDet and YOLOv10 for object detection. Explore architectures, benchmarks, and use cases to choose the perfect model for your needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/efficientdet-vs-yolov10" property="twitter:url"/><meta content="EfficientDet vs YOLOv10: A Detailed Comparison" property="twitter:title"/><meta content="Compare EfficientDet and YOLOv10 for object detection. Explore architectures, benchmarks, and use cases to choose the perfect model for your needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "EfficientDet vs YOLOv10: A Detailed Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare EfficientDet and YOLOv10 for object detection. Explore architectures, benchmarks, and use cases to choose the perfect model for your needs."}</script></head>
+<meta content="EfficientDet vs YOLOv10: A Detailed Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="EfficientDet, YOLOv10, object detection, model comparison, machine learning, real-time detection, computer vision, Ultralytics, efficiency, accuracy" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/efficientdet-vs-yolov10" property="og:url"/><meta content="EfficientDet vs YOLOv10: A Detailed Comparison" property="og:title"/><meta content="Compare EfficientDet and YOLOv10 for object detection. Explore architectures, benchmarks, and use cases to choose the perfect model for your needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/efficientdet-vs-yolov10" property="twitter:url"/><meta content="EfficientDet vs YOLOv10: A Detailed Comparison" property="twitter:title"/><meta content="Compare EfficientDet and YOLOv10 for object detection. Explore architectures, benchmarks, and use cases to choose the perfect model for your needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "EfficientDet vs YOLOv10: A Detailed Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare EfficientDet and YOLOv10 for object detection. Explore architectures, benchmarks, and use cases to choose the perfect model for your needs."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/efficientdet-vs-yolov5/index.html b/compare/efficientdet-vs-yolov5/index.html
index 070a56166..3cd415885 100644
--- a/compare/efficientdet-vs-yolov5/index.html
+++ b/compare/efficientdet-vs-yolov5/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="EfficientDet vs YOLOv5: A Detailed Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="EfficientDet, YOLOv5, object detection, comparison, model comparison, computer vision, EfficientNet, BiFPN, YOLO models, real-time detection, accuracy, performance metrics" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/efficientdet-vs-yolov5" property="og:url"/><meta content="EfficientDet vs YOLOv5: A Detailed Comparison for Object Detection" property="og:title"/><meta content="Compare EfficientDet and YOLOv5 for object detection. Explore their architectures, performance metrics, use cases, and choose the right model for your needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/efficientdet-vs-yolov5" property="twitter:url"/><meta content="EfficientDet vs YOLOv5: A Detailed Comparison for Object Detection" property="twitter:title"/><meta content="Compare EfficientDet and YOLOv5 for object detection. Explore their architectures, performance metrics, use cases, and choose the right model for your needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "EfficientDet vs YOLOv5: A Detailed Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare EfficientDet and YOLOv5 for object detection. Explore their architectures, performance metrics, use cases, and choose the right model for your needs."}</script></head>
+<meta content="EfficientDet vs YOLOv5: A Detailed Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="EfficientDet, YOLOv5, object detection, comparison, model comparison, computer vision, EfficientNet, BiFPN, YOLO models, real-time detection, accuracy, performance metrics" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/efficientdet-vs-yolov5" property="og:url"/><meta content="EfficientDet vs YOLOv5: A Detailed Comparison for Object Detection" property="og:title"/><meta content="Compare EfficientDet and YOLOv5 for object detection. Explore their architectures, performance metrics, use cases, and choose the right model for your needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/efficientdet-vs-yolov5" property="twitter:url"/><meta content="EfficientDet vs YOLOv5: A Detailed Comparison for Object Detection" property="twitter:title"/><meta content="Compare EfficientDet and YOLOv5 for object detection. Explore their architectures, performance metrics, use cases, and choose the right model for your needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "EfficientDet vs YOLOv5: A Detailed Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare EfficientDet and YOLOv5 for object detection. Explore their architectures, performance metrics, use cases, and choose the right model for your needs."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/efficientdet-vs-yolov6/index.html b/compare/efficientdet-vs-yolov6/index.html
index ebd07b73d..ca17c7ad3 100644
--- a/compare/efficientdet-vs-yolov6/index.html
+++ b/compare/efficientdet-vs-yolov6/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="EfficientDet vs YOLOv6-3.0: A Technical Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="EfficientDet, YOLOv6, object detection, model comparison, computer vision, mAP, inference speed, real-time detection, EfficientDet vs YOLO, Ultralytics" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/efficientdet-vs-yolov6" property="og:url"/><meta content="EfficientDet vs YOLOv6-3.0: A Technical Comparison for Object Detection" property="og:title"/><meta content="Discover key differences between EfficientDet and YOLOv6-3.0, including architecture, accuracy, speed, and use cases for optimized object detection." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/efficientdet-vs-yolov6" property="twitter:url"/><meta content="EfficientDet vs YOLOv6-3.0: A Technical Comparison for Object Detection" property="twitter:title"/><meta content="Discover key differences between EfficientDet and YOLOv6-3.0, including architecture, accuracy, speed, and use cases for optimized object detection." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "EfficientDet vs YOLOv6-3.0: A Technical Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Discover key differences between EfficientDet and YOLOv6-3.0, including architecture, accuracy, speed, and use cases for optimized object detection."}</script></head>
+<meta content="EfficientDet vs YOLOv6-3.0: A Technical Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="EfficientDet, YOLOv6, object detection, model comparison, computer vision, mAP, inference speed, real-time detection, EfficientDet vs YOLO, Ultralytics" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/efficientdet-vs-yolov6" property="og:url"/><meta content="EfficientDet vs YOLOv6-3.0: A Technical Comparison for Object Detection" property="og:title"/><meta content="Discover key differences between EfficientDet and YOLOv6-3.0, including architecture, accuracy, speed, and use cases for optimized object detection." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/efficientdet-vs-yolov6" property="twitter:url"/><meta content="EfficientDet vs YOLOv6-3.0: A Technical Comparison for Object Detection" property="twitter:title"/><meta content="Discover key differences between EfficientDet and YOLOv6-3.0, including architecture, accuracy, speed, and use cases for optimized object detection." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "EfficientDet vs YOLOv6-3.0: A Technical Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Discover key differences between EfficientDet and YOLOv6-3.0, including architecture, accuracy, speed, and use cases for optimized object detection."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/efficientdet-vs-yolov7/index.html b/compare/efficientdet-vs-yolov7/index.html
index fc0b7f509..5c2d89d03 100644
--- a/compare/efficientdet-vs-yolov7/index.html
+++ b/compare/efficientdet-vs-yolov7/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="Model Comparison: EfficientDet vs YOLOv7 for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="EfficientDet, YOLOv7, object detection, model comparison, EfficientDet vs YOLOv7, computer vision, real-time detection, accuracy, speed, neural networks" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/efficientdet-vs-yolov7" property="og:url"/><meta content="Model Comparison: EfficientDet vs YOLOv7 for Object Detection" property="og:title"/><meta content="Compare EfficientDet and YOLOv7 object detection models. Explore accuracy, speed, performance, and best use cases to choose the right model for your project." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/efficientdet-vs-yolov7" property="twitter:url"/><meta content="Model Comparison: EfficientDet vs YOLOv7 for Object Detection" property="twitter:title"/><meta content="Compare EfficientDet and YOLOv7 object detection models. Explore accuracy, speed, performance, and best use cases to choose the right model for your project." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "Model Comparison: EfficientDet vs YOLOv7 for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare EfficientDet and YOLOv7 object detection models. Explore accuracy, speed, performance, and best use cases to choose the right model for your project."}</script></head>
+<meta content="Model Comparison: EfficientDet vs YOLOv7 for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="EfficientDet, YOLOv7, object detection, model comparison, EfficientDet vs YOLOv7, computer vision, real-time detection, accuracy, speed, neural networks" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/efficientdet-vs-yolov7" property="og:url"/><meta content="Model Comparison: EfficientDet vs YOLOv7 for Object Detection" property="og:title"/><meta content="Compare EfficientDet and YOLOv7 object detection models. Explore accuracy, speed, performance, and best use cases to choose the right model for your project." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/efficientdet-vs-yolov7" property="twitter:url"/><meta content="Model Comparison: EfficientDet vs YOLOv7 for Object Detection" property="twitter:title"/><meta content="Compare EfficientDet and YOLOv7 object detection models. Explore accuracy, speed, performance, and best use cases to choose the right model for your project." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "Model Comparison: EfficientDet vs YOLOv7 for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare EfficientDet and YOLOv7 object detection models. Explore accuracy, speed, performance, and best use cases to choose the right model for your project."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/efficientdet-vs-yolov8/index.html b/compare/efficientdet-vs-yolov8/index.html
index 6a6d59e60..4d9e3cb43 100644
--- a/compare/efficientdet-vs-yolov8/index.html
+++ b/compare/efficientdet-vs-yolov8/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="EfficientDet vs YOLOv8: A Detailed Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="EfficientDet, YOLOv8, object detection, model comparison, computer vision, real-time detection, performance metrics, Ultralytics, EfficientDet vs YOLOv8" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/efficientdet-vs-yolov8" property="og:url"/><meta content="EfficientDet vs YOLOv8: A Detailed Comparison" property="og:title"/><meta content="Compare EfficientDet and YOLOv8 for object detection. Explore their strengths, weaknesses, performance metrics, and use cases in computer vision." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/efficientdet-vs-yolov8" property="twitter:url"/><meta content="EfficientDet vs YOLOv8: A Detailed Comparison" property="twitter:title"/><meta content="Compare EfficientDet and YOLOv8 for object detection. Explore their strengths, weaknesses, performance metrics, and use cases in computer vision." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "EfficientDet vs YOLOv8: A Detailed Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare EfficientDet and YOLOv8 for object detection. Explore their strengths, weaknesses, performance metrics, and use cases in computer vision."}</script></head>
+<meta content="EfficientDet vs YOLOv8: A Detailed Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="EfficientDet, YOLOv8, object detection, model comparison, computer vision, real-time detection, performance metrics, Ultralytics, EfficientDet vs YOLOv8" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/efficientdet-vs-yolov8" property="og:url"/><meta content="EfficientDet vs YOLOv8: A Detailed Comparison" property="og:title"/><meta content="Compare EfficientDet and YOLOv8 for object detection. Explore their strengths, weaknesses, performance metrics, and use cases in computer vision." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/efficientdet-vs-yolov8" property="twitter:url"/><meta content="EfficientDet vs YOLOv8: A Detailed Comparison" property="twitter:title"/><meta content="Compare EfficientDet and YOLOv8 for object detection. Explore their strengths, weaknesses, performance metrics, and use cases in computer vision." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "EfficientDet vs YOLOv8: A Detailed Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare EfficientDet and YOLOv8 for object detection. Explore their strengths, weaknesses, performance metrics, and use cases in computer vision."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/efficientdet-vs-yolov9/index.html b/compare/efficientdet-vs-yolov9/index.html
index 02689217e..114ffe694 100644
--- a/compare/efficientdet-vs-yolov9/index.html
+++ b/compare/efficientdet-vs-yolov9/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="Model Comparison: EfficientDet vs YOLOv9" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="EfficientDet, YOLOv9, model comparison, object detection, computer vision, AI, Ultralytics, efficiency, performance, real-time detection" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/efficientdet-vs-yolov9" property="og:url"/><meta content="Model Comparison: EfficientDet vs YOLOv9" property="og:title"/><meta content="Compare EfficientDet and YOLOv9 object detection models by Ultralytics. Review architecture, performance, and use cases to choose the best solution." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/efficientdet-vs-yolov9" property="twitter:url"/><meta content="Model Comparison: EfficientDet vs YOLOv9" property="twitter:title"/><meta content="Compare EfficientDet and YOLOv9 object detection models by Ultralytics. Review architecture, performance, and use cases to choose the best solution." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "Model Comparison: EfficientDet vs YOLOv9", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare EfficientDet and YOLOv9 object detection models by Ultralytics. Review architecture, performance, and use cases to choose the best solution."}</script></head>
+<meta content="Model Comparison: EfficientDet vs YOLOv9" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="EfficientDet, YOLOv9, model comparison, object detection, computer vision, AI, Ultralytics, efficiency, performance, real-time detection" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/efficientdet-vs-yolov9" property="og:url"/><meta content="Model Comparison: EfficientDet vs YOLOv9" property="og:title"/><meta content="Compare EfficientDet and YOLOv9 object detection models by Ultralytics. Review architecture, performance, and use cases to choose the best solution." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/efficientdet-vs-yolov9" property="twitter:url"/><meta content="Model Comparison: EfficientDet vs YOLOv9" property="twitter:title"/><meta content="Compare EfficientDet and YOLOv9 object detection models by Ultralytics. Review architecture, performance, and use cases to choose the best solution." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "Model Comparison: EfficientDet vs YOLOv9", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare EfficientDet and YOLOv9 object detection models by Ultralytics. Review architecture, performance, and use cases to choose the best solution."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/efficientdet-vs-yolox/index.html b/compare/efficientdet-vs-yolox/index.html
index 146cc1812..71ea74fb8 100644
--- a/compare/efficientdet-vs-yolox/index.html
+++ b/compare/efficientdet-vs-yolox/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="EfficientDet vs YOLOX: A Technical Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="EfficientDet, YOLOX, object detection, machine learning, model comparison, real-time AI, computer vision, scalability, inference speed" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/efficientdet-vs-yolox" property="og:url"/><meta content="EfficientDet vs YOLOX: A Technical Comparison for Object Detection" property="og:title"/><meta content="Discover the key differences between EfficientDet and YOLOX for object detection. Learn about their architectures, performance, and best use cases." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/efficientdet-vs-yolox" property="twitter:url"/><meta content="EfficientDet vs YOLOX: A Technical Comparison for Object Detection" property="twitter:title"/><meta content="Discover the key differences between EfficientDet and YOLOX for object detection. Learn about their architectures, performance, and best use cases." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "EfficientDet vs YOLOX: A Technical Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Discover the key differences between EfficientDet and YOLOX for object detection. Learn about their architectures, performance, and best use cases."}</script></head>
+<meta content="EfficientDet vs YOLOX: A Technical Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="EfficientDet, YOLOX, object detection, machine learning, model comparison, real-time AI, computer vision, scalability, inference speed" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/efficientdet-vs-yolox" property="og:url"/><meta content="EfficientDet vs YOLOX: A Technical Comparison for Object Detection" property="og:title"/><meta content="Discover the key differences between EfficientDet and YOLOX for object detection. Learn about their architectures, performance, and best use cases." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/efficientdet-vs-yolox" property="twitter:url"/><meta content="EfficientDet vs YOLOX: A Technical Comparison for Object Detection" property="twitter:title"/><meta content="Discover the key differences between EfficientDet and YOLOX for object detection. Learn about their architectures, performance, and best use cases." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "EfficientDet vs YOLOX: A Technical Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Discover the key differences between EfficientDet and YOLOX for object detection. Learn about their architectures, performance, and best use cases."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/pp-yoloe-vs-damo-yolo/index.html b/compare/pp-yoloe-vs-damo-yolo/index.html
index 14349d371..e49f42c05 100644
--- a/compare/pp-yoloe-vs-damo-yolo/index.html
+++ b/compare/pp-yoloe-vs-damo-yolo/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="Model Comparison: PP-YOLOE+ vs DAMO-YOLO for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="PP-YOLOE+, DAMO-YOLO, object detection, model comparison, computer vision, PaddlePaddle, Alibaba, deep learning, machine learning" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/pp-yoloe-vs-damo-yolo" property="og:url"/><meta content="Model Comparison: PP-YOLOE+ vs DAMO-YOLO for Object Detection" property="og:title"/><meta content="Compare PP-YOLOE+ and DAMO-YOLO for object detection. Explore their performance, architecture, and use cases to find the ideal model for your needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/pp-yoloe-vs-damo-yolo" property="twitter:url"/><meta content="Model Comparison: PP-YOLOE+ vs DAMO-YOLO for Object Detection" property="twitter:title"/><meta content="Compare PP-YOLOE+ and DAMO-YOLO for object detection. Explore their performance, architecture, and use cases to find the ideal model for your needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "Model Comparison: PP-YOLOE+ vs DAMO-YOLO for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare PP-YOLOE+ and DAMO-YOLO for object detection. Explore their performance, architecture, and use cases to find the ideal model for your needs."}</script></head>
+<meta content="Model Comparison: PP-YOLOE+ vs DAMO-YOLO for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="PP-YOLOE+, DAMO-YOLO, object detection, model comparison, computer vision, PaddlePaddle, Alibaba, deep learning, machine learning" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/pp-yoloe-vs-damo-yolo" property="og:url"/><meta content="Model Comparison: PP-YOLOE+ vs DAMO-YOLO for Object Detection" property="og:title"/><meta content="Compare PP-YOLOE+ and DAMO-YOLO for object detection. Explore their performance, architecture, and use cases to find the ideal model for your needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/pp-yoloe-vs-damo-yolo" property="twitter:url"/><meta content="Model Comparison: PP-YOLOE+ vs DAMO-YOLO for Object Detection" property="twitter:title"/><meta content="Compare PP-YOLOE+ and DAMO-YOLO for object detection. Explore their performance, architecture, and use cases to find the ideal model for your needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "Model Comparison: PP-YOLOE+ vs DAMO-YOLO for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare PP-YOLOE+ and DAMO-YOLO for object detection. Explore their performance, architecture, and use cases to find the ideal model for your needs."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/pp-yoloe-vs-efficientdet/index.html b/compare/pp-yoloe-vs-efficientdet/index.html
index 0fe25ede8..796f10b1c 100644
--- a/compare/pp-yoloe-vs-efficientdet/index.html
+++ b/compare/pp-yoloe-vs-efficientdet/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="PP-YOLOE+ vs EfficientDet: A Technical Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="PP-YOLOE+, EfficientDet, object detection, model comparison, computer vision, YOLO, EfficientNet, architecture analysis" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/pp-yoloe-vs-efficientdet" property="og:url"/><meta content="PP-YOLOE+ vs EfficientDet: A Technical Comparison" property="og:title"/><meta content="Compare PP-YOLOE+ and EfficientDet on architecture, performance, and applications. Find the best model for your object detection needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/pp-yoloe-vs-efficientdet" property="twitter:url"/><meta content="PP-YOLOE+ vs EfficientDet: A Technical Comparison" property="twitter:title"/><meta content="Compare PP-YOLOE+ and EfficientDet on architecture, performance, and applications. Find the best model for your object detection needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "PP-YOLOE+ vs EfficientDet: A Technical Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare PP-YOLOE+ and EfficientDet on architecture, performance, and applications. Find the best model for your object detection needs."}</script></head>
+<meta content="PP-YOLOE+ vs EfficientDet: A Technical Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="PP-YOLOE+, EfficientDet, object detection, model comparison, computer vision, YOLO, EfficientNet, architecture analysis" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/pp-yoloe-vs-efficientdet" property="og:url"/><meta content="PP-YOLOE+ vs EfficientDet: A Technical Comparison" property="og:title"/><meta content="Compare PP-YOLOE+ and EfficientDet on architecture, performance, and applications. Find the best model for your object detection needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/pp-yoloe-vs-efficientdet" property="twitter:url"/><meta content="PP-YOLOE+ vs EfficientDet: A Technical Comparison" property="twitter:title"/><meta content="Compare PP-YOLOE+ and EfficientDet on architecture, performance, and applications. Find the best model for your object detection needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "PP-YOLOE+ vs EfficientDet: A Technical Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare PP-YOLOE+ and EfficientDet on architecture, performance, and applications. Find the best model for your object detection needs."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/pp-yoloe-vs-rtdetr/index.html b/compare/pp-yoloe-vs-rtdetr/index.html
index a8f3333db..7b1cb27dc 100644
--- a/compare/pp-yoloe-vs-rtdetr/index.html
+++ b/compare/pp-yoloe-vs-rtdetr/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="PP-YOLOE+ vs RTDETRv2: Model Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="PP-YOLOE+, RTDETRv2, model comparison, object detection, Vision Transformer, CNN, anchor-free detection, real-time detection, computer vision models" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/pp-yoloe-vs-rtdetr" property="og:url"/><meta content="PP-YOLOE+ vs RTDETRv2: Model Comparison" property="og:title"/><meta content="Dive into a detailed comparison of PP-YOLOE+ and RTDETRv2 object detection models. Explore performance, architecture, and ideal use cases." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/pp-yoloe-vs-rtdetr" property="twitter:url"/><meta content="PP-YOLOE+ vs RTDETRv2: Model Comparison" property="twitter:title"/><meta content="Dive into a detailed comparison of PP-YOLOE+ and RTDETRv2 object detection models. Explore performance, architecture, and ideal use cases." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "PP-YOLOE+ vs RTDETRv2: Model Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Dive into a detailed comparison of PP-YOLOE+ and RTDETRv2 object detection models. Explore performance, architecture, and ideal use cases."}</script></head>
+<meta content="PP-YOLOE+ vs RTDETRv2: Model Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="PP-YOLOE+, RTDETRv2, model comparison, object detection, Vision Transformer, CNN, anchor-free detection, real-time detection, computer vision models" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/pp-yoloe-vs-rtdetr" property="og:url"/><meta content="PP-YOLOE+ vs RTDETRv2: Model Comparison" property="og:title"/><meta content="Dive into a detailed comparison of PP-YOLOE+ and RTDETRv2 object detection models. Explore performance, architecture, and ideal use cases." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/pp-yoloe-vs-rtdetr" property="twitter:url"/><meta content="PP-YOLOE+ vs RTDETRv2: Model Comparison" property="twitter:title"/><meta content="Dive into a detailed comparison of PP-YOLOE+ and RTDETRv2 object detection models. Explore performance, architecture, and ideal use cases." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "PP-YOLOE+ vs RTDETRv2: Model Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Dive into a detailed comparison of PP-YOLOE+ and RTDETRv2 object detection models. Explore performance, architecture, and ideal use cases."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/pp-yoloe-vs-yolo11/index.html b/compare/pp-yoloe-vs-yolo11/index.html
index ae84ab503..c0c5f8eb7 100644
--- a/compare/pp-yoloe-vs-yolo11/index.html
+++ b/compare/pp-yoloe-vs-yolo11/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="Model Comparison: PP-YOLOE+ vs YOLO11 for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="PP-YOLOE+, YOLO11, object detection, model comparison, AI benchmarks, computer vision, YOLO models, Ultralytics, PaddlePaddle, neural networks" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/pp-yoloe-vs-yolo11" property="og:url"/><meta content="Model Comparison: PP-YOLOE+ vs YOLO11 for Object Detection" property="og:title"/><meta content="Compare PP-YOLOE+ and YOLO11 for object detection with detailed benchmarks, architecture insights, and use cases. Find the best model for your needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/pp-yoloe-vs-yolo11" property="twitter:url"/><meta content="Model Comparison: PP-YOLOE+ vs YOLO11 for Object Detection" property="twitter:title"/><meta content="Compare PP-YOLOE+ and YOLO11 for object detection with detailed benchmarks, architecture insights, and use cases. Find the best model for your needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "Model Comparison: PP-YOLOE+ vs YOLO11 for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare PP-YOLOE+ and YOLO11 for object detection with detailed benchmarks, architecture insights, and use cases. Find the best model for your needs."}</script></head>
+<meta content="Model Comparison: PP-YOLOE+ vs YOLO11 for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="PP-YOLOE+, YOLO11, object detection, model comparison, AI benchmarks, computer vision, YOLO models, Ultralytics, PaddlePaddle, neural networks" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/pp-yoloe-vs-yolo11" property="og:url"/><meta content="Model Comparison: PP-YOLOE+ vs YOLO11 for Object Detection" property="og:title"/><meta content="Compare PP-YOLOE+ and YOLO11 for object detection with detailed benchmarks, architecture insights, and use cases. Find the best model for your needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/pp-yoloe-vs-yolo11" property="twitter:url"/><meta content="Model Comparison: PP-YOLOE+ vs YOLO11 for Object Detection" property="twitter:title"/><meta content="Compare PP-YOLOE+ and YOLO11 for object detection with detailed benchmarks, architecture insights, and use cases. Find the best model for your needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "Model Comparison: PP-YOLOE+ vs YOLO11 for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare PP-YOLOE+ and YOLO11 for object detection with detailed benchmarks, architecture insights, and use cases. Find the best model for your needs."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/pp-yoloe-vs-yolov10/index.html b/compare/pp-yoloe-vs-yolov10/index.html
index 83d0b9881..08a0eff47 100644
--- a/compare/pp-yoloe-vs-yolov10/index.html
+++ b/compare/pp-yoloe-vs-yolov10/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="PP-YOLOE+ vs YOLOv10: A Detailed Model Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="PP-YOLOE+, YOLOv10, object detection, model comparison, computer vision, AI models, deep learning, inference speed, accuracy, edge deployment" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/pp-yoloe-vs-yolov10" property="og:url"/><meta content="PP-YOLOE+ vs YOLOv10: A Detailed Model Comparison" property="og:title"/><meta content="Discover a detailed comparison between PP-YOLOE+ and YOLOv10, featuring performance metrics, strengths, and ideal use cases for top object detection models." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/pp-yoloe-vs-yolov10" property="twitter:url"/><meta content="PP-YOLOE+ vs YOLOv10: A Detailed Model Comparison" property="twitter:title"/><meta content="Discover a detailed comparison between PP-YOLOE+ and YOLOv10, featuring performance metrics, strengths, and ideal use cases for top object detection models." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "PP-YOLOE+ vs YOLOv10: A Detailed Model Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Discover a detailed comparison between PP-YOLOE+ and YOLOv10, featuring performance metrics, strengths, and ideal use cases for top object detection models."}</script></head>
+<meta content="PP-YOLOE+ vs YOLOv10: A Detailed Model Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="PP-YOLOE+, YOLOv10, object detection, model comparison, computer vision, AI models, deep learning, inference speed, accuracy, edge deployment" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/pp-yoloe-vs-yolov10" property="og:url"/><meta content="PP-YOLOE+ vs YOLOv10: A Detailed Model Comparison" property="og:title"/><meta content="Discover a detailed comparison between PP-YOLOE+ and YOLOv10, featuring performance metrics, strengths, and ideal use cases for top object detection models." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/pp-yoloe-vs-yolov10" property="twitter:url"/><meta content="PP-YOLOE+ vs YOLOv10: A Detailed Model Comparison" property="twitter:title"/><meta content="Discover a detailed comparison between PP-YOLOE+ and YOLOv10, featuring performance metrics, strengths, and ideal use cases for top object detection models." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "PP-YOLOE+ vs YOLOv10: A Detailed Model Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Discover a detailed comparison between PP-YOLOE+ and YOLOv10, featuring performance metrics, strengths, and ideal use cases for top object detection models."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/pp-yoloe-vs-yolov5/index.html b/compare/pp-yoloe-vs-yolov5/index.html
index 2f5b4229c..6fee77850 100644
--- a/compare/pp-yoloe-vs-yolov5/index.html
+++ b/compare/pp-yoloe-vs-yolov5/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="PP-YOLOE+ vs YOLOv5: A Detailed Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="PP-YOLOE+, YOLOv5, object detection, model comparison, computer vision, YOLO, AI tools, machine learning, deep learning, performance metrics" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/pp-yoloe-vs-yolov5" property="og:url"/><meta content="PP-YOLOE+ vs YOLOv5: A Detailed Comparison" property="og:title"/><meta content="Compare PP-YOLOE+ and YOLOv5, top object detection models. Learn about architecture, performance, and use cases to choose the right tool for your needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/pp-yoloe-vs-yolov5" property="twitter:url"/><meta content="PP-YOLOE+ vs YOLOv5: A Detailed Comparison" property="twitter:title"/><meta content="Compare PP-YOLOE+ and YOLOv5, top object detection models. Learn about architecture, performance, and use cases to choose the right tool for your needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "PP-YOLOE+ vs YOLOv5: A Detailed Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare PP-YOLOE+ and YOLOv5, top object detection models. Learn about architecture, performance, and use cases to choose the right tool for your needs."}</script></head>
+<meta content="PP-YOLOE+ vs YOLOv5: A Detailed Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="PP-YOLOE+, YOLOv5, object detection, model comparison, computer vision, YOLO, AI tools, machine learning, deep learning, performance metrics" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/pp-yoloe-vs-yolov5" property="og:url"/><meta content="PP-YOLOE+ vs YOLOv5: A Detailed Comparison" property="og:title"/><meta content="Compare PP-YOLOE+ and YOLOv5, top object detection models. Learn about architecture, performance, and use cases to choose the right tool for your needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/pp-yoloe-vs-yolov5" property="twitter:url"/><meta content="PP-YOLOE+ vs YOLOv5: A Detailed Comparison" property="twitter:title"/><meta content="Compare PP-YOLOE+ and YOLOv5, top object detection models. Learn about architecture, performance, and use cases to choose the right tool for your needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "PP-YOLOE+ vs YOLOv5: A Detailed Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare PP-YOLOE+ and YOLOv5, top object detection models. Learn about architecture, performance, and use cases to choose the right tool for your needs."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/pp-yoloe-vs-yolov6/index.html b/compare/pp-yoloe-vs-yolov6/index.html
index 56fa73b9c..0a5f14413 100644
--- a/compare/pp-yoloe-vs-yolov6/index.html
+++ b/compare/pp-yoloe-vs-yolov6/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="PP-YOLOE+ vs YOLOv6-3.0: A Technical Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="PP-YOLOE+, YOLOv6-3.0, object detection, model comparison, computer vision, AI models, inference speed, accuracy, industrial applications" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/pp-yoloe-vs-yolov6" property="og:url"/><meta content="PP-YOLOE+ vs YOLOv6-3.0: A Technical Comparison for Object Detection" property="og:title"/><meta content="Compare PP-YOLOE+ and YOLOv6-3.0 for object detection. Explore architecture, performance, and use cases to select the ideal model for your needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/pp-yoloe-vs-yolov6" property="twitter:url"/><meta content="PP-YOLOE+ vs YOLOv6-3.0: A Technical Comparison for Object Detection" property="twitter:title"/><meta content="Compare PP-YOLOE+ and YOLOv6-3.0 for object detection. Explore architecture, performance, and use cases to select the ideal model for your needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "PP-YOLOE+ vs YOLOv6-3.0: A Technical Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare PP-YOLOE+ and YOLOv6-3.0 for object detection. Explore architecture, performance, and use cases to select the ideal model for your needs."}</script></head>
+<meta content="PP-YOLOE+ vs YOLOv6-3.0: A Technical Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="PP-YOLOE+, YOLOv6-3.0, object detection, model comparison, computer vision, AI models, inference speed, accuracy, industrial applications" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/pp-yoloe-vs-yolov6" property="og:url"/><meta content="PP-YOLOE+ vs YOLOv6-3.0: A Technical Comparison for Object Detection" property="og:title"/><meta content="Compare PP-YOLOE+ and YOLOv6-3.0 for object detection. Explore architecture, performance, and use cases to select the ideal model for your needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/pp-yoloe-vs-yolov6" property="twitter:url"/><meta content="PP-YOLOE+ vs YOLOv6-3.0: A Technical Comparison for Object Detection" property="twitter:title"/><meta content="Compare PP-YOLOE+ and YOLOv6-3.0 for object detection. Explore architecture, performance, and use cases to select the ideal model for your needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "PP-YOLOE+ vs YOLOv6-3.0: A Technical Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare PP-YOLOE+ and YOLOv6-3.0 for object detection. Explore architecture, performance, and use cases to select the ideal model for your needs."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/pp-yoloe-vs-yolov7/index.html b/compare/pp-yoloe-vs-yolov7/index.html
index 687fdb1f3..30e71e1c1 100644
--- a/compare/pp-yoloe-vs-yolov7/index.html
+++ b/compare/pp-yoloe-vs-yolov7/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="PP-YOLOE+ vs YOLOv7: A Technical Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="PP-YOLOE+, YOLOv7, object detection, computer vision, model comparison, real-time detection, AI models, machine learning, Ultralytics, PaddleDetection" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/pp-yoloe-vs-yolov7" property="og:url"/><meta content="PP-YOLOE+ vs YOLOv7: A Technical Comparison" property="og:title"/><meta content="Explore the ultimate technical comparison of PP-YOLOE+ and YOLOv7. Discover their strengths, performance, and ideal use cases for object detection." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/pp-yoloe-vs-yolov7" property="twitter:url"/><meta content="PP-YOLOE+ vs YOLOv7: A Technical Comparison" property="twitter:title"/><meta content="Explore the ultimate technical comparison of PP-YOLOE+ and YOLOv7. Discover their strengths, performance, and ideal use cases for object detection." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "PP-YOLOE+ vs YOLOv7: A Technical Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore the ultimate technical comparison of PP-YOLOE+ and YOLOv7. Discover their strengths, performance, and ideal use cases for object detection."}</script></head>
+<meta content="PP-YOLOE+ vs YOLOv7: A Technical Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="PP-YOLOE+, YOLOv7, object detection, computer vision, model comparison, real-time detection, AI models, machine learning, Ultralytics, PaddleDetection" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/pp-yoloe-vs-yolov7" property="og:url"/><meta content="PP-YOLOE+ vs YOLOv7: A Technical Comparison" property="og:title"/><meta content="Explore the ultimate technical comparison of PP-YOLOE+ and YOLOv7. Discover their strengths, performance, and ideal use cases for object detection." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/pp-yoloe-vs-yolov7" property="twitter:url"/><meta content="PP-YOLOE+ vs YOLOv7: A Technical Comparison" property="twitter:title"/><meta content="Explore the ultimate technical comparison of PP-YOLOE+ and YOLOv7. Discover their strengths, performance, and ideal use cases for object detection." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "PP-YOLOE+ vs YOLOv7: A Technical Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore the ultimate technical comparison of PP-YOLOE+ and YOLOv7. Discover their strengths, performance, and ideal use cases for object detection."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/pp-yoloe-vs-yolov8/index.html b/compare/pp-yoloe-vs-yolov8/index.html
index a7649dc1e..8f5bdc38b 100644
--- a/compare/pp-yoloe-vs-yolov8/index.html
+++ b/compare/pp-yoloe-vs-yolov8/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="PP-YOLOE+ vs YOLOv8: A Technical Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="PP-YOLOE+, YOLOv8, object detection, model comparison, computer vision, Ultralytics, PaddlePaddle, deep learning models, YOLO series, machine learning" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/pp-yoloe-vs-yolov8" property="og:url"/><meta content="PP-YOLOE+ vs YOLOv8: A Technical Comparison for Object Detection" property="og:title"/><meta content="Discover the key differences between PP-YOLOE+ and YOLOv8. Compare performance, accuracy, and use cases to choose the best object detection model." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/pp-yoloe-vs-yolov8" property="twitter:url"/><meta content="PP-YOLOE+ vs YOLOv8: A Technical Comparison for Object Detection" property="twitter:title"/><meta content="Discover the key differences between PP-YOLOE+ and YOLOv8. Compare performance, accuracy, and use cases to choose the best object detection model." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "PP-YOLOE+ vs YOLOv8: A Technical Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Discover the key differences between PP-YOLOE+ and YOLOv8. Compare performance, accuracy, and use cases to choose the best object detection model."}</script></head>
+<meta content="PP-YOLOE+ vs YOLOv8: A Technical Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="PP-YOLOE+, YOLOv8, object detection, model comparison, computer vision, Ultralytics, PaddlePaddle, deep learning models, YOLO series, machine learning" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/pp-yoloe-vs-yolov8" property="og:url"/><meta content="PP-YOLOE+ vs YOLOv8: A Technical Comparison for Object Detection" property="og:title"/><meta content="Discover the key differences between PP-YOLOE+ and YOLOv8. Compare performance, accuracy, and use cases to choose the best object detection model." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/pp-yoloe-vs-yolov8" property="twitter:url"/><meta content="PP-YOLOE+ vs YOLOv8: A Technical Comparison for Object Detection" property="twitter:title"/><meta content="Discover the key differences between PP-YOLOE+ and YOLOv8. Compare performance, accuracy, and use cases to choose the best object detection model." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "PP-YOLOE+ vs YOLOv8: A Technical Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Discover the key differences between PP-YOLOE+ and YOLOv8. Compare performance, accuracy, and use cases to choose the best object detection model."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/pp-yoloe-vs-yolov9/index.html b/compare/pp-yoloe-vs-yolov9/index.html
index 04bd2e950..d7c5ab337 100644
--- a/compare/pp-yoloe-vs-yolov9/index.html
+++ b/compare/pp-yoloe-vs-yolov9/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="PP-YOLOE+ vs YOLOv9: A Detailed Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="PP-YOLOE+, YOLOv9, object detection, model comparison, computer vision, deep learning, accuracy, speed, architecture, performance, real-time detection" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/pp-yoloe-vs-yolov9" property="og:url"/><meta content="PP-YOLOE+ vs YOLOv9: A Detailed Comparison" property="og:title"/><meta content="Explore a detailed comparison of PP-YOLOE+ and YOLOv9 object detection models, covering accuracy, speed, architecture, and ideal applications. Make informed choices." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/pp-yoloe-vs-yolov9" property="twitter:url"/><meta content="PP-YOLOE+ vs YOLOv9: A Detailed Comparison" property="twitter:title"/><meta content="Explore a detailed comparison of PP-YOLOE+ and YOLOv9 object detection models, covering accuracy, speed, architecture, and ideal applications. Make informed choices." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "PP-YOLOE+ vs YOLOv9: A Detailed Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore a detailed comparison of PP-YOLOE+ and YOLOv9 object detection models, covering accuracy, speed, architecture, and ideal applications. Make informed choices."}</script></head>
+<meta content="PP-YOLOE+ vs YOLOv9: A Detailed Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="PP-YOLOE+, YOLOv9, object detection, model comparison, computer vision, deep learning, accuracy, speed, architecture, performance, real-time detection" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/pp-yoloe-vs-yolov9" property="og:url"/><meta content="PP-YOLOE+ vs YOLOv9: A Detailed Comparison" property="og:title"/><meta content="Explore a detailed comparison of PP-YOLOE+ and YOLOv9 object detection models, covering accuracy, speed, architecture, and ideal applications. Make informed choices." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/pp-yoloe-vs-yolov9" property="twitter:url"/><meta content="PP-YOLOE+ vs YOLOv9: A Detailed Comparison" property="twitter:title"/><meta content="Explore a detailed comparison of PP-YOLOE+ and YOLOv9 object detection models, covering accuracy, speed, architecture, and ideal applications. Make informed choices." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "PP-YOLOE+ vs YOLOv9: A Detailed Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore a detailed comparison of PP-YOLOE+ and YOLOv9 object detection models, covering accuracy, speed, architecture, and ideal applications. Make informed choices."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/pp-yoloe-vs-yolox/index.html b/compare/pp-yoloe-vs-yolox/index.html
index 5d558f559..3f3af407d 100644
--- a/compare/pp-yoloe-vs-yolox/index.html
+++ b/compare/pp-yoloe-vs-yolox/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="PP-YOLOE+ vs YOLOX: Detailed Model Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="PP-YOLOE+, YOLOX, object detection, model comparison, computer vision, one-stage detector, YOLO models, deep learning, AI, performance benchmarks" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/pp-yoloe-vs-yolox" property="og:url"/><meta content="PP-YOLOE+ vs YOLOX: Detailed Model Comparison" property="og:title"/><meta content="Explore a detailed comparison of PP-YOLOE+ and YOLOX, covering architecture, performance benchmarks, and use cases in object detection." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/pp-yoloe-vs-yolox" property="twitter:url"/><meta content="PP-YOLOE+ vs YOLOX: Detailed Model Comparison" property="twitter:title"/><meta content="Explore a detailed comparison of PP-YOLOE+ and YOLOX, covering architecture, performance benchmarks, and use cases in object detection." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "PP-YOLOE+ vs YOLOX: Detailed Model Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore a detailed comparison of PP-YOLOE+ and YOLOX, covering architecture, performance benchmarks, and use cases in object detection."}</script></head>
+<meta content="PP-YOLOE+ vs YOLOX: Detailed Model Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="PP-YOLOE+, YOLOX, object detection, model comparison, computer vision, one-stage detector, YOLO models, deep learning, AI, performance benchmarks" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/pp-yoloe-vs-yolox" property="og:url"/><meta content="PP-YOLOE+ vs YOLOX: Detailed Model Comparison" property="og:title"/><meta content="Explore a detailed comparison of PP-YOLOE+ and YOLOX, covering architecture, performance benchmarks, and use cases in object detection." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/pp-yoloe-vs-yolox" property="twitter:url"/><meta content="PP-YOLOE+ vs YOLOX: Detailed Model Comparison" property="twitter:title"/><meta content="Explore a detailed comparison of PP-YOLOE+ and YOLOX, covering architecture, performance benchmarks, and use cases in object detection." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "PP-YOLOE+ vs YOLOX: Detailed Model Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore a detailed comparison of PP-YOLOE+ and YOLOX, covering architecture, performance benchmarks, and use cases in object detection."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/rtdetr-vs-damo-yolo/index.html b/compare/rtdetr-vs-damo-yolo/index.html
index ee437c8e6..f1993751d 100644
--- a/compare/rtdetr-vs-damo-yolo/index.html
+++ b/compare/rtdetr-vs-damo-yolo/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="RTDETRv2 vs DAMO-YOLO: A Technical Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="RTDETRv2, DAMO-YOLO, object detection, model comparison, computer vision, real-time detection, anchor-free detector, Ultralytics" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/rtdetr-vs-damo-yolo" property="og:url"/><meta content="RTDETRv2 vs DAMO-YOLO: A Technical Comparison for Object Detection" property="og:title"/><meta content="Discover how RTDETRv2 and DAMO-YOLO stack up in object detection performance, speed, and applications. Choose the right model for your needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/rtdetr-vs-damo-yolo" property="twitter:url"/><meta content="RTDETRv2 vs DAMO-YOLO: A Technical Comparison for Object Detection" property="twitter:title"/><meta content="Discover how RTDETRv2 and DAMO-YOLO stack up in object detection performance, speed, and applications. Choose the right model for your needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "RTDETRv2 vs DAMO-YOLO: A Technical Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Discover how RTDETRv2 and DAMO-YOLO stack up in object detection performance, speed, and applications. Choose the right model for your needs."}</script></head>
+<meta content="RTDETRv2 vs DAMO-YOLO: A Technical Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="RTDETRv2, DAMO-YOLO, object detection, model comparison, computer vision, real-time detection, anchor-free detector, Ultralytics" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/rtdetr-vs-damo-yolo" property="og:url"/><meta content="RTDETRv2 vs DAMO-YOLO: A Technical Comparison for Object Detection" property="og:title"/><meta content="Discover how RTDETRv2 and DAMO-YOLO stack up in object detection performance, speed, and applications. Choose the right model for your needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/rtdetr-vs-damo-yolo" property="twitter:url"/><meta content="RTDETRv2 vs DAMO-YOLO: A Technical Comparison for Object Detection" property="twitter:title"/><meta content="Discover how RTDETRv2 and DAMO-YOLO stack up in object detection performance, speed, and applications. Choose the right model for your needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "RTDETRv2 vs DAMO-YOLO: A Technical Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Discover how RTDETRv2 and DAMO-YOLO stack up in object detection performance, speed, and applications. Choose the right model for your needs."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/rtdetr-vs-efficientdet/index.html b/compare/rtdetr-vs-efficientdet/index.html
index db9e5b9ca..1d8c625dd 100644
--- a/compare/rtdetr-vs-efficientdet/index.html
+++ b/compare/rtdetr-vs-efficientdet/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="RTDETRv2 vs EfficientDet: A Technical Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="RTDETRv2, EfficientDet, object detection, model comparison, Vision Transformer, EfficientNet, real-time detection, anchor-free detector, scalability, performance metrics" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/rtdetr-vs-efficientdet" property="og:url"/><meta content="RTDETRv2 vs EfficientDet: A Technical Comparison for Object Detection" property="og:title"/><meta content="Discover how RTDETRv2 and EfficientDet stack up in object detection performance, architecture, speed, and use cases. Choose the right model for your needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/rtdetr-vs-efficientdet" property="twitter:url"/><meta content="RTDETRv2 vs EfficientDet: A Technical Comparison for Object Detection" property="twitter:title"/><meta content="Discover how RTDETRv2 and EfficientDet stack up in object detection performance, architecture, speed, and use cases. Choose the right model for your needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "RTDETRv2 vs EfficientDet: A Technical Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Discover how RTDETRv2 and EfficientDet stack up in object detection performance, architecture, speed, and use cases. Choose the right model for your needs."}</script></head>
+<meta content="RTDETRv2 vs EfficientDet: A Technical Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="RTDETRv2, EfficientDet, object detection, model comparison, Vision Transformer, EfficientNet, real-time detection, anchor-free detector, scalability, performance metrics" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/rtdetr-vs-efficientdet" property="og:url"/><meta content="RTDETRv2 vs EfficientDet: A Technical Comparison for Object Detection" property="og:title"/><meta content="Discover how RTDETRv2 and EfficientDet stack up in object detection performance, architecture, speed, and use cases. Choose the right model for your needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/rtdetr-vs-efficientdet" property="twitter:url"/><meta content="RTDETRv2 vs EfficientDet: A Technical Comparison for Object Detection" property="twitter:title"/><meta content="Discover how RTDETRv2 and EfficientDet stack up in object detection performance, architecture, speed, and use cases. Choose the right model for your needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "RTDETRv2 vs EfficientDet: A Technical Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Discover how RTDETRv2 and EfficientDet stack up in object detection performance, architecture, speed, and use cases. Choose the right model for your needs."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/rtdetr-vs-pp-yoloe/index.html b/compare/rtdetr-vs-pp-yoloe/index.html
index c742fde75..60f4a00c4 100644
--- a/compare/rtdetr-vs-pp-yoloe/index.html
+++ b/compare/rtdetr-vs-pp-yoloe/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="RTDETRv2 vs PP-YOLOE+: Detailed Model Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="RTDETRv2, PP-YOLOE+, object detection, model comparison, computer vision, real-time detection, YOLO models, transformer, performance analysis" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/rtdetr-vs-pp-yoloe" property="og:url"/><meta content="RTDETRv2 vs PP-YOLOE+: Detailed Model Comparison" property="og:title"/><meta content="Compare RTDETRv2 and PP-YOLOE+ object detection models. Explore differences in architecture, accuracy, and performance to choose the best fit." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/rtdetr-vs-pp-yoloe" property="twitter:url"/><meta content="RTDETRv2 vs PP-YOLOE+: Detailed Model Comparison" property="twitter:title"/><meta content="Compare RTDETRv2 and PP-YOLOE+ object detection models. Explore differences in architecture, accuracy, and performance to choose the best fit." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "RTDETRv2 vs PP-YOLOE+: Detailed Model Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare RTDETRv2 and PP-YOLOE+ object detection models. Explore differences in architecture, accuracy, and performance to choose the best fit."}</script></head>
+<meta content="RTDETRv2 vs PP-YOLOE+: Detailed Model Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="RTDETRv2, PP-YOLOE+, object detection, model comparison, computer vision, real-time detection, YOLO models, transformer, performance analysis" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/rtdetr-vs-pp-yoloe" property="og:url"/><meta content="RTDETRv2 vs PP-YOLOE+: Detailed Model Comparison" property="og:title"/><meta content="Compare RTDETRv2 and PP-YOLOE+ object detection models. Explore differences in architecture, accuracy, and performance to choose the best fit." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/rtdetr-vs-pp-yoloe" property="twitter:url"/><meta content="RTDETRv2 vs PP-YOLOE+: Detailed Model Comparison" property="twitter:title"/><meta content="Compare RTDETRv2 and PP-YOLOE+ object detection models. Explore differences in architecture, accuracy, and performance to choose the best fit." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "RTDETRv2 vs PP-YOLOE+: Detailed Model Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare RTDETRv2 and PP-YOLOE+ object detection models. Explore differences in architecture, accuracy, and performance to choose the best fit."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/rtdetr-vs-yolo11/index.html b/compare/rtdetr-vs-yolo11/index.html
index 967eb871f..2833f1df6 100644
--- a/compare/rtdetr-vs-yolo11/index.html
+++ b/compare/rtdetr-vs-yolo11/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="RTDETRv2 vs YOLO11: A Technical Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="RTDETRv2,YOLO11,object detection,Ultralytics,Vision Transformer,YOLO models,model comparison,real-time detection,computer vision" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/rtdetr-vs-yolo11" property="og:url"/><meta content="RTDETRv2 vs YOLO11: A Technical Comparison for Object Detection" property="og:title"/><meta content="Compare RTDETRv2 and YOLO11 for object detection. Analyze key features, accuracy, speed, and use cases to find the best model for your needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/rtdetr-vs-yolo11" property="twitter:url"/><meta content="RTDETRv2 vs YOLO11: A Technical Comparison for Object Detection" property="twitter:title"/><meta content="Compare RTDETRv2 and YOLO11 for object detection. Analyze key features, accuracy, speed, and use cases to find the best model for your needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "RTDETRv2 vs YOLO11: A Technical Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare RTDETRv2 and YOLO11 for object detection. Analyze key features, accuracy, speed, and use cases to find the best model for your needs."}</script></head>
+<meta content="RTDETRv2 vs YOLO11: A Technical Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="RTDETRv2,YOLO11,object detection,Ultralytics,Vision Transformer,YOLO models,model comparison,real-time detection,computer vision" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/rtdetr-vs-yolo11" property="og:url"/><meta content="RTDETRv2 vs YOLO11: A Technical Comparison for Object Detection" property="og:title"/><meta content="Compare RTDETRv2 and YOLO11 for object detection. Analyze key features, accuracy, speed, and use cases to find the best model for your needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/rtdetr-vs-yolo11" property="twitter:url"/><meta content="RTDETRv2 vs YOLO11: A Technical Comparison for Object Detection" property="twitter:title"/><meta content="Compare RTDETRv2 and YOLO11 for object detection. Analyze key features, accuracy, speed, and use cases to find the best model for your needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "RTDETRv2 vs YOLO11: A Technical Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare RTDETRv2 and YOLO11 for object detection. Analyze key features, accuracy, speed, and use cases to find the best model for your needs."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/rtdetr-vs-yolov10/index.html b/compare/rtdetr-vs-yolov10/index.html
index 0d6e21898..948816e02 100644
--- a/compare/rtdetr-vs-yolov10/index.html
+++ b/compare/rtdetr-vs-yolov10/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="RTDETRv2 vs YOLOv10: A Technical Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="RTDETRv2, YOLOv10, object detection comparison, Vision Transformer, CNN, real-time detection, Ultralytics models, AI benchmarks, computer vision" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/rtdetr-vs-yolov10" property="og:url"/><meta content="RTDETRv2 vs YOLOv10: A Technical Comparison for Object Detection" property="og:title"/><meta content="Explore a detailed comparison between RTDETRv2 and YOLOv10, covering architecture, benchmarks, and best use cases for object detection projects." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/rtdetr-vs-yolov10" property="twitter:url"/><meta content="RTDETRv2 vs YOLOv10: A Technical Comparison for Object Detection" property="twitter:title"/><meta content="Explore a detailed comparison between RTDETRv2 and YOLOv10, covering architecture, benchmarks, and best use cases for object detection projects." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "RTDETRv2 vs YOLOv10: A Technical Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore a detailed comparison between RTDETRv2 and YOLOv10, covering architecture, benchmarks, and best use cases for object detection projects."}</script></head>
+<meta content="RTDETRv2 vs YOLOv10: A Technical Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="RTDETRv2, YOLOv10, object detection comparison, Vision Transformer, CNN, real-time detection, Ultralytics models, AI benchmarks, computer vision" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/rtdetr-vs-yolov10" property="og:url"/><meta content="RTDETRv2 vs YOLOv10: A Technical Comparison for Object Detection" property="og:title"/><meta content="Explore a detailed comparison between RTDETRv2 and YOLOv10, covering architecture, benchmarks, and best use cases for object detection projects." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/rtdetr-vs-yolov10" property="twitter:url"/><meta content="RTDETRv2 vs YOLOv10: A Technical Comparison for Object Detection" property="twitter:title"/><meta content="Explore a detailed comparison between RTDETRv2 and YOLOv10, covering architecture, benchmarks, and best use cases for object detection projects." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "RTDETRv2 vs YOLOv10: A Technical Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore a detailed comparison between RTDETRv2 and YOLOv10, covering architecture, benchmarks, and best use cases for object detection projects."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/rtdetr-vs-yolov5/index.html b/compare/rtdetr-vs-yolov5/index.html
index d28b01b8d..8b934a7aa 100644
--- a/compare/rtdetr-vs-yolov5/index.html
+++ b/compare/rtdetr-vs-yolov5/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="RTDETRv2 vs YOLOv5: A Detailed Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="RTDETRv2, YOLOv5, object detection, Vision Transformer, CNN, anchor-free, real-time models, model comparison, Ultralytics, AI, computer vision" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/rtdetr-vs-yolov5" property="og:url"/><meta content="RTDETRv2 vs YOLOv5: A Detailed Comparison" property="og:title"/><meta content="Compare RTDETRv2 and YOLOv5 object detection models. Explore their architectures, performance benchmarks, and use cases to pick the best fit." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/rtdetr-vs-yolov5" property="twitter:url"/><meta content="RTDETRv2 vs YOLOv5: A Detailed Comparison" property="twitter:title"/><meta content="Compare RTDETRv2 and YOLOv5 object detection models. Explore their architectures, performance benchmarks, and use cases to pick the best fit." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "RTDETRv2 vs YOLOv5: A Detailed Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare RTDETRv2 and YOLOv5 object detection models. Explore their architectures, performance benchmarks, and use cases to pick the best fit."}</script></head>
+<meta content="RTDETRv2 vs YOLOv5: A Detailed Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="RTDETRv2, YOLOv5, object detection, Vision Transformer, CNN, anchor-free, real-time models, model comparison, Ultralytics, AI, computer vision" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/rtdetr-vs-yolov5" property="og:url"/><meta content="RTDETRv2 vs YOLOv5: A Detailed Comparison" property="og:title"/><meta content="Compare RTDETRv2 and YOLOv5 object detection models. Explore their architectures, performance benchmarks, and use cases to pick the best fit." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/rtdetr-vs-yolov5" property="twitter:url"/><meta content="RTDETRv2 vs YOLOv5: A Detailed Comparison" property="twitter:title"/><meta content="Compare RTDETRv2 and YOLOv5 object detection models. Explore their architectures, performance benchmarks, and use cases to pick the best fit." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "RTDETRv2 vs YOLOv5: A Detailed Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare RTDETRv2 and YOLOv5 object detection models. Explore their architectures, performance benchmarks, and use cases to pick the best fit."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/rtdetr-vs-yolov6/index.html b/compare/rtdetr-vs-yolov6/index.html
index d75bdc0c6..446d8083b 100644
--- a/compare/rtdetr-vs-yolov6/index.html
+++ b/compare/rtdetr-vs-yolov6/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="RT-DETR vs YOLOv6-3.0: A Detailed Model Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="RT-DETR, YOLOv6-3.0, Ultralytics, model comparison, object detection, real-time detection, accuracy vs speed, computer vision" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/rtdetr-vs-yolov6" property="og:url"/><meta content="RT-DETR vs YOLOv6-3.0: A Detailed Model Comparison" property="og:title"/><meta content="Explore RT-DETR and YOLOv6-3.0 in this detailed Ultralytics guide. Compare accuracy, speed, and applications to select the best model for your needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/rtdetr-vs-yolov6" property="twitter:url"/><meta content="RT-DETR vs YOLOv6-3.0: A Detailed Model Comparison" property="twitter:title"/><meta content="Explore RT-DETR and YOLOv6-3.0 in this detailed Ultralytics guide. Compare accuracy, speed, and applications to select the best model for your needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "RT-DETR vs YOLOv6-3.0: A Detailed Model Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore RT-DETR and YOLOv6-3.0 in this detailed Ultralytics guide. Compare accuracy, speed, and applications to select the best model for your needs."}</script></head>
+<meta content="RT-DETR vs YOLOv6-3.0: A Detailed Model Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="RT-DETR, YOLOv6-3.0, Ultralytics, model comparison, object detection, real-time detection, accuracy vs speed, computer vision" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/rtdetr-vs-yolov6" property="og:url"/><meta content="RT-DETR vs YOLOv6-3.0: A Detailed Model Comparison" property="og:title"/><meta content="Explore RT-DETR and YOLOv6-3.0 in this detailed Ultralytics guide. Compare accuracy, speed, and applications to select the best model for your needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/rtdetr-vs-yolov6" property="twitter:url"/><meta content="RT-DETR vs YOLOv6-3.0: A Detailed Model Comparison" property="twitter:title"/><meta content="Explore RT-DETR and YOLOv6-3.0 in this detailed Ultralytics guide. Compare accuracy, speed, and applications to select the best model for your needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "RT-DETR vs YOLOv6-3.0: A Detailed Model Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore RT-DETR and YOLOv6-3.0 in this detailed Ultralytics guide. Compare accuracy, speed, and applications to select the best model for your needs."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/rtdetr-vs-yolov7/index.html b/compare/rtdetr-vs-yolov7/index.html
index 5c59e1c9f..cfc1a20aa 100644
--- a/compare/rtdetr-vs-yolov7/index.html
+++ b/compare/rtdetr-vs-yolov7/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="RTDETRv2 vs YOLOv7: A Detailed Model Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="RTDETRv2, YOLOv7, model comparison, object detection, transformer models, CNN models, real-time inference, Ultralytics, computer vision" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/rtdetr-vs-yolov7" property="og:url"/><meta content="RTDETRv2 vs YOLOv7: A Detailed Model Comparison" property="og:title"/><meta content="Compare RTDETRv2 and YOLOv7 models for object detection. Explore architecture, performance metrics, use cases, and find the best fit for your tasks." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/rtdetr-vs-yolov7" property="twitter:url"/><meta content="RTDETRv2 vs YOLOv7: A Detailed Model Comparison" property="twitter:title"/><meta content="Compare RTDETRv2 and YOLOv7 models for object detection. Explore architecture, performance metrics, use cases, and find the best fit for your tasks." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "RTDETRv2 vs YOLOv7: A Detailed Model Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare RTDETRv2 and YOLOv7 models for object detection. Explore architecture, performance metrics, use cases, and find the best fit for your tasks."}</script></head>
+<meta content="RTDETRv2 vs YOLOv7: A Detailed Model Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="RTDETRv2, YOLOv7, model comparison, object detection, transformer models, CNN models, real-time inference, Ultralytics, computer vision" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/rtdetr-vs-yolov7" property="og:url"/><meta content="RTDETRv2 vs YOLOv7: A Detailed Model Comparison" property="og:title"/><meta content="Compare RTDETRv2 and YOLOv7 models for object detection. Explore architecture, performance metrics, use cases, and find the best fit for your tasks." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/rtdetr-vs-yolov7" property="twitter:url"/><meta content="RTDETRv2 vs YOLOv7: A Detailed Model Comparison" property="twitter:title"/><meta content="Compare RTDETRv2 and YOLOv7 models for object detection. Explore architecture, performance metrics, use cases, and find the best fit for your tasks." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "RTDETRv2 vs YOLOv7: A Detailed Model Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare RTDETRv2 and YOLOv7 models for object detection. Explore architecture, performance metrics, use cases, and find the best fit for your tasks."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/rtdetr-vs-yolov8/index.html b/compare/rtdetr-vs-yolov8/index.html
index e5dfcf75d..f37024f03 100644
--- a/compare/rtdetr-vs-yolov8/index.html
+++ b/compare/rtdetr-vs-yolov8/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="RTDETRv2 vs YOLOv8: A Detailed Model Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="RTDETRv2, YOLOv8, object detection, model comparison, real-time detection, Vision Transformers, Ultralytics models, machine learning, computer vision" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/rtdetr-vs-yolov8" property="og:url"/><meta content="RTDETRv2 vs YOLOv8: A Detailed Model Comparison" property="og:title"/><meta content="Compare RTDETRv2 and YOLOv8 for object detection. Explore their architecture, performance, and ideal use cases to choose the right model for your needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/rtdetr-vs-yolov8" property="twitter:url"/><meta content="RTDETRv2 vs YOLOv8: A Detailed Model Comparison" property="twitter:title"/><meta content="Compare RTDETRv2 and YOLOv8 for object detection. Explore their architecture, performance, and ideal use cases to choose the right model for your needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "RTDETRv2 vs YOLOv8: A Detailed Model Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare RTDETRv2 and YOLOv8 for object detection. Explore their architecture, performance, and ideal use cases to choose the right model for your needs."}</script></head>
+<meta content="RTDETRv2 vs YOLOv8: A Detailed Model Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="RTDETRv2, YOLOv8, object detection, model comparison, real-time detection, Vision Transformers, Ultralytics models, machine learning, computer vision" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/rtdetr-vs-yolov8" property="og:url"/><meta content="RTDETRv2 vs YOLOv8: A Detailed Model Comparison" property="og:title"/><meta content="Compare RTDETRv2 and YOLOv8 for object detection. Explore their architecture, performance, and ideal use cases to choose the right model for your needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/rtdetr-vs-yolov8" property="twitter:url"/><meta content="RTDETRv2 vs YOLOv8: A Detailed Model Comparison" property="twitter:title"/><meta content="Compare RTDETRv2 and YOLOv8 for object detection. Explore their architecture, performance, and ideal use cases to choose the right model for your needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "RTDETRv2 vs YOLOv8: A Detailed Model Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare RTDETRv2 and YOLOv8 for object detection. Explore their architecture, performance, and ideal use cases to choose the right model for your needs."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/rtdetr-vs-yolov9/index.html b/compare/rtdetr-vs-yolov9/index.html
index 53714f5b9..746dcfa98 100644
--- a/compare/rtdetr-vs-yolov9/index.html
+++ b/compare/rtdetr-vs-yolov9/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="RTDETRv2 vs YOLOv9: A Technical Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="RTDETRv2, YOLOv9, object detection, model comparison, Ultralytics, deep learning, Transformers, CNN, AI models, real-time detection, computer vision" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/rtdetr-vs-yolov9" property="og:url"/><meta content="RTDETRv2 vs YOLOv9: A Technical Comparison for Object Detection" property="og:title"/><meta content="Explore RTDETRv2 vs YOLOv9 for object detection. Discover their architectures, performance metrics, and use cases to choose the best model for your needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/rtdetr-vs-yolov9" property="twitter:url"/><meta content="RTDETRv2 vs YOLOv9: A Technical Comparison for Object Detection" property="twitter:title"/><meta content="Explore RTDETRv2 vs YOLOv9 for object detection. Discover their architectures, performance metrics, and use cases to choose the best model for your needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "RTDETRv2 vs YOLOv9: A Technical Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore RTDETRv2 vs YOLOv9 for object detection. Discover their architectures, performance metrics, and use cases to choose the best model for your needs."}</script></head>
+<meta content="RTDETRv2 vs YOLOv9: A Technical Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="RTDETRv2, YOLOv9, object detection, model comparison, Ultralytics, deep learning, Transformers, CNN, AI models, real-time detection, computer vision" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/rtdetr-vs-yolov9" property="og:url"/><meta content="RTDETRv2 vs YOLOv9: A Technical Comparison for Object Detection" property="og:title"/><meta content="Explore RTDETRv2 vs YOLOv9 for object detection. Discover their architectures, performance metrics, and use cases to choose the best model for your needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/rtdetr-vs-yolov9" property="twitter:url"/><meta content="RTDETRv2 vs YOLOv9: A Technical Comparison for Object Detection" property="twitter:title"/><meta content="Explore RTDETRv2 vs YOLOv9 for object detection. Discover their architectures, performance metrics, and use cases to choose the best model for your needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "RTDETRv2 vs YOLOv9: A Technical Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore RTDETRv2 vs YOLOv9 for object detection. Discover their architectures, performance metrics, and use cases to choose the best model for your needs."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/rtdetr-vs-yolox/index.html b/compare/rtdetr-vs-yolox/index.html
index cfed2d644..7ed43b91b 100644
--- a/compare/rtdetr-vs-yolox/index.html
+++ b/compare/rtdetr-vs-yolox/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="RTDETRv2 vs YOLOX: A Detailed Model Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="RTDETRv2, YOLOX, object detection, model comparison, performance metrics, real-time detection, Ultralytics, machine learning, computer vision" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/rtdetr-vs-yolox" property="og:url"/><meta content="RTDETRv2 vs YOLOX: A Detailed Model Comparison for Object Detection" property="og:title"/><meta content="Compare RTDETRv2 and YOLOX object detection models. Explore architectures, performance metrics, and use cases to choose the best for your project." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/rtdetr-vs-yolox" property="twitter:url"/><meta content="RTDETRv2 vs YOLOX: A Detailed Model Comparison for Object Detection" property="twitter:title"/><meta content="Compare RTDETRv2 and YOLOX object detection models. Explore architectures, performance metrics, and use cases to choose the best for your project." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "RTDETRv2 vs YOLOX: A Detailed Model Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare RTDETRv2 and YOLOX object detection models. Explore architectures, performance metrics, and use cases to choose the best for your project."}</script></head>
+<meta content="RTDETRv2 vs YOLOX: A Detailed Model Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="RTDETRv2, YOLOX, object detection, model comparison, performance metrics, real-time detection, Ultralytics, machine learning, computer vision" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/rtdetr-vs-yolox" property="og:url"/><meta content="RTDETRv2 vs YOLOX: A Detailed Model Comparison for Object Detection" property="og:title"/><meta content="Compare RTDETRv2 and YOLOX object detection models. Explore architectures, performance metrics, and use cases to choose the best for your project." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/rtdetr-vs-yolox" property="twitter:url"/><meta content="RTDETRv2 vs YOLOX: A Detailed Model Comparison for Object Detection" property="twitter:title"/><meta content="Compare RTDETRv2 and YOLOX object detection models. Explore architectures, performance metrics, and use cases to choose the best for your project." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "RTDETRv2 vs YOLOX: A Detailed Model Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare RTDETRv2 and YOLOX object detection models. Explore architectures, performance metrics, and use cases to choose the best for your project."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolo11-vs-damo-yolo/index.html b/compare/yolo11-vs-damo-yolo/index.html
index 904b1adb4..f0e651d4b 100644
--- a/compare/yolo11-vs-damo-yolo/index.html
+++ b/compare/yolo11-vs-damo-yolo/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLO11 vs. DAMO-YOLO: A Technical Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLO11, DAMO-YOLO, object detection, model comparison, computer vision, YOLO models, Ultralytics, real-time AI, DAMO Academy, TensorRT" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolo11-vs-damo-yolo" property="og:url"/><meta content="YOLO11 vs. DAMO-YOLO: A Technical Comparison for Object Detection" property="og:title"/><meta content="Compare YOLO11 and DAMO-YOLO object detection models. Explore architecture, performance, and use cases to select the best fit for your project." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolo11-vs-damo-yolo" property="twitter:url"/><meta content="YOLO11 vs. DAMO-YOLO: A Technical Comparison for Object Detection" property="twitter:title"/><meta content="Compare YOLO11 and DAMO-YOLO object detection models. Explore architecture, performance, and use cases to select the best fit for your project." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLO11 vs. DAMO-YOLO: A Technical Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLO11 and DAMO-YOLO object detection models. Explore architecture, performance, and use cases to select the best fit for your project."}</script></head>
+<meta content="YOLO11 vs. DAMO-YOLO: A Technical Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLO11, DAMO-YOLO, object detection, model comparison, computer vision, YOLO models, Ultralytics, real-time AI, DAMO Academy, TensorRT" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolo11-vs-damo-yolo" property="og:url"/><meta content="YOLO11 vs. DAMO-YOLO: A Technical Comparison for Object Detection" property="og:title"/><meta content="Compare YOLO11 and DAMO-YOLO object detection models. Explore architecture, performance, and use cases to select the best fit for your project." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolo11-vs-damo-yolo" property="twitter:url"/><meta content="YOLO11 vs. DAMO-YOLO: A Technical Comparison for Object Detection" property="twitter:title"/><meta content="Compare YOLO11 and DAMO-YOLO object detection models. Explore architecture, performance, and use cases to select the best fit for your project." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLO11 vs. DAMO-YOLO: A Technical Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLO11 and DAMO-YOLO object detection models. Explore architecture, performance, and use cases to select the best fit for your project."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolo11-vs-efficientdet/index.html b/compare/yolo11-vs-efficientdet/index.html
index bc6463afa..37d558f64 100644
--- a/compare/yolo11-vs-efficientdet/index.html
+++ b/compare/yolo11-vs-efficientdet/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLO11 vs. EfficientDet: A Technical Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLO11, EfficientDet, object detection, model comparison, Ultralytics, computer vision, real-time inference, AI models, performance metrics, efficiency" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolo11-vs-efficientdet" property="og:url"/><meta content="YOLO11 vs. EfficientDet: A Technical Comparison for Object Detection" property="og:title"/><meta content="Compare YOLO11 and EfficientDet for object detection. Explore their architectures, performance metrics, and use cases to make an informed choice." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolo11-vs-efficientdet" property="twitter:url"/><meta content="YOLO11 vs. EfficientDet: A Technical Comparison for Object Detection" property="twitter:title"/><meta content="Compare YOLO11 and EfficientDet for object detection. Explore their architectures, performance metrics, and use cases to make an informed choice." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLO11 vs. EfficientDet: A Technical Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLO11 and EfficientDet for object detection. Explore their architectures, performance metrics, and use cases to make an informed choice."}</script></head>
+<meta content="YOLO11 vs. EfficientDet: A Technical Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLO11, EfficientDet, object detection, model comparison, Ultralytics, computer vision, real-time inference, AI models, performance metrics, efficiency" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolo11-vs-efficientdet" property="og:url"/><meta content="YOLO11 vs. EfficientDet: A Technical Comparison for Object Detection" property="og:title"/><meta content="Compare YOLO11 and EfficientDet for object detection. Explore their architectures, performance metrics, and use cases to make an informed choice." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolo11-vs-efficientdet" property="twitter:url"/><meta content="YOLO11 vs. EfficientDet: A Technical Comparison for Object Detection" property="twitter:title"/><meta content="Compare YOLO11 and EfficientDet for object detection. Explore their architectures, performance metrics, and use cases to make an informed choice." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLO11 vs. EfficientDet: A Technical Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLO11 and EfficientDet for object detection. Explore their architectures, performance metrics, and use cases to make an informed choice."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolo11-vs-pp-yoloe/index.html b/compare/yolo11-vs-pp-yoloe/index.html
index 36140cd0d..d2c8222d8 100644
--- a/compare/yolo11-vs-pp-yoloe/index.html
+++ b/compare/yolo11-vs-pp-yoloe/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="Model Comparison: YOLO11 vs PP-YOLOE+ for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLO11, PP-YOLOE+, object detection, model comparison, Ultralytics, computer vision, machine learning, real-time detection, accuracy, performance metrics" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolo11-vs-pp-yoloe" property="og:url"/><meta content="Model Comparison: YOLO11 vs PP-YOLOE+ for Object Detection" property="og:title"/><meta content="Compare YOLO11 and PP-YOLOE+ for object detection. Explore performance, architecture, and applications to choose the right model for your needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolo11-vs-pp-yoloe" property="twitter:url"/><meta content="Model Comparison: YOLO11 vs PP-YOLOE+ for Object Detection" property="twitter:title"/><meta content="Compare YOLO11 and PP-YOLOE+ for object detection. Explore performance, architecture, and applications to choose the right model for your needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "Model Comparison: YOLO11 vs PP-YOLOE+ for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLO11 and PP-YOLOE+ for object detection. Explore performance, architecture, and applications to choose the right model for your needs."}</script></head>
+<meta content="Model Comparison: YOLO11 vs PP-YOLOE+ for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLO11, PP-YOLOE+, object detection, model comparison, Ultralytics, computer vision, machine learning, real-time detection, accuracy, performance metrics" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolo11-vs-pp-yoloe" property="og:url"/><meta content="Model Comparison: YOLO11 vs PP-YOLOE+ for Object Detection" property="og:title"/><meta content="Compare YOLO11 and PP-YOLOE+ for object detection. Explore performance, architecture, and applications to choose the right model for your needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolo11-vs-pp-yoloe" property="twitter:url"/><meta content="Model Comparison: YOLO11 vs PP-YOLOE+ for Object Detection" property="twitter:title"/><meta content="Compare YOLO11 and PP-YOLOE+ for object detection. Explore performance, architecture, and applications to choose the right model for your needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "Model Comparison: YOLO11 vs PP-YOLOE+ for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLO11 and PP-YOLOE+ for object detection. Explore performance, architecture, and applications to choose the right model for your needs."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolo11-vs-rtdetr/index.html b/compare/yolo11-vs-rtdetr/index.html
index 7adcb5ffa..04b75878a 100644
--- a/compare/yolo11-vs-rtdetr/index.html
+++ b/compare/yolo11-vs-rtdetr/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLO11 vs RTDETRv2: A Detailed Model Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLO11, RTDETRv2, object detection model, YOLO comparison, real-time detection, vision transformer, ultralytics models, model architecture, performance metrics" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolo11-vs-rtdetr" property="og:url"/><meta content="YOLO11 vs RTDETRv2: A Detailed Model Comparison for Object Detection" property="og:title"/><meta content="Dive into a detailed comparison of YOLO11 and RTDETRv2. Explore their architecture, strengths, weaknesses, and ideal use cases for object detection." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolo11-vs-rtdetr" property="twitter:url"/><meta content="YOLO11 vs RTDETRv2: A Detailed Model Comparison for Object Detection" property="twitter:title"/><meta content="Dive into a detailed comparison of YOLO11 and RTDETRv2. Explore their architecture, strengths, weaknesses, and ideal use cases for object detection." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLO11 vs RTDETRv2: A Detailed Model Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Dive into a detailed comparison of YOLO11 and RTDETRv2. Explore their architecture, strengths, weaknesses, and ideal use cases for object detection."}</script></head>
+<meta content="YOLO11 vs RTDETRv2: A Detailed Model Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLO11, RTDETRv2, object detection model, YOLO comparison, real-time detection, vision transformer, ultralytics models, model architecture, performance metrics" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolo11-vs-rtdetr" property="og:url"/><meta content="YOLO11 vs RTDETRv2: A Detailed Model Comparison for Object Detection" property="og:title"/><meta content="Dive into a detailed comparison of YOLO11 and RTDETRv2. Explore their architecture, strengths, weaknesses, and ideal use cases for object detection." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolo11-vs-rtdetr" property="twitter:url"/><meta content="YOLO11 vs RTDETRv2: A Detailed Model Comparison for Object Detection" property="twitter:title"/><meta content="Dive into a detailed comparison of YOLO11 and RTDETRv2. Explore their architecture, strengths, weaknesses, and ideal use cases for object detection." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLO11 vs RTDETRv2: A Detailed Model Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Dive into a detailed comparison of YOLO11 and RTDETRv2. Explore their architecture, strengths, weaknesses, and ideal use cases for object detection."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolo11-vs-yolov10/index.html b/compare/yolo11-vs-yolov10/index.html
index 9a84ac9a0..7ca76bbb2 100644
--- a/compare/yolo11-vs-yolov10/index.html
+++ b/compare/yolo11-vs-yolov10/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLO11 vs YOLOv10: A Technical Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLO11, YOLOv10, object detection, model comparison, Ultralytics, accuracy, inference speed, performance metrics, computer vision" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolo11-vs-yolov10" property="og:url"/><meta content="YOLO11 vs YOLOv10: A Technical Comparison for Object Detection" property="og:title"/><meta content="Compare YOLO11 and YOLOv10, two cutting-edge Ultralytics models. Explore architecture, performance, and use cases to choose the best fit for your needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolo11-vs-yolov10" property="twitter:url"/><meta content="YOLO11 vs YOLOv10: A Technical Comparison for Object Detection" property="twitter:title"/><meta content="Compare YOLO11 and YOLOv10, two cutting-edge Ultralytics models. Explore architecture, performance, and use cases to choose the best fit for your needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLO11 vs YOLOv10: A Technical Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLO11 and YOLOv10, two cutting-edge Ultralytics models. Explore architecture, performance, and use cases to choose the best fit for your needs."}</script></head>
+<meta content="YOLO11 vs YOLOv10: A Technical Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLO11, YOLOv10, object detection, model comparison, Ultralytics, accuracy, inference speed, performance metrics, computer vision" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolo11-vs-yolov10" property="og:url"/><meta content="YOLO11 vs YOLOv10: A Technical Comparison for Object Detection" property="og:title"/><meta content="Compare YOLO11 and YOLOv10, two cutting-edge Ultralytics models. Explore architecture, performance, and use cases to choose the best fit for your needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolo11-vs-yolov10" property="twitter:url"/><meta content="YOLO11 vs YOLOv10: A Technical Comparison for Object Detection" property="twitter:title"/><meta content="Compare YOLO11 and YOLOv10, two cutting-edge Ultralytics models. Explore architecture, performance, and use cases to choose the best fit for your needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLO11 vs YOLOv10: A Technical Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLO11 and YOLOv10, two cutting-edge Ultralytics models. Explore architecture, performance, and use cases to choose the best fit for your needs."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolo11-vs-yolov5/index.html b/compare/yolo11-vs-yolov5/index.html
index d22b72954..b5feb6eac 100644
--- a/compare/yolo11-vs-yolov5/index.html
+++ b/compare/yolo11-vs-yolov5/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLO11 vs YOLOv5: A Detailed Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLO11, YOLOv5, object detection, computer vision, YOLO models, real-time AI, deep learning comparison, Ultralytics models" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolo11-vs-yolov5" property="og:url"/><meta content="YOLO11 vs YOLOv5: A Detailed Comparison" property="og:title"/><meta content="Compare YOLO11 and YOLOv5 in speed, accuracy, and features. Discover which Ultralytics model suits your real-time object detection needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolo11-vs-yolov5" property="twitter:url"/><meta content="YOLO11 vs YOLOv5: A Detailed Comparison" property="twitter:title"/><meta content="Compare YOLO11 and YOLOv5 in speed, accuracy, and features. Discover which Ultralytics model suits your real-time object detection needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLO11 vs YOLOv5: A Detailed Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLO11 and YOLOv5 in speed, accuracy, and features. Discover which Ultralytics model suits your real-time object detection needs."}</script></head>
+<meta content="YOLO11 vs YOLOv5: A Detailed Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLO11, YOLOv5, object detection, computer vision, YOLO models, real-time AI, deep learning comparison, Ultralytics models" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolo11-vs-yolov5" property="og:url"/><meta content="YOLO11 vs YOLOv5: A Detailed Comparison" property="og:title"/><meta content="Compare YOLO11 and YOLOv5 in speed, accuracy, and features. Discover which Ultralytics model suits your real-time object detection needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolo11-vs-yolov5" property="twitter:url"/><meta content="YOLO11 vs YOLOv5: A Detailed Comparison" property="twitter:title"/><meta content="Compare YOLO11 and YOLOv5 in speed, accuracy, and features. Discover which Ultralytics model suits your real-time object detection needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLO11 vs YOLOv5: A Detailed Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLO11 and YOLOv5 in speed, accuracy, and features. Discover which Ultralytics model suits your real-time object detection needs."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolo11-vs-yolov6/index.html b/compare/yolo11-vs-yolov6/index.html
index a5d2a8da3..9c7ea5490 100644
--- a/compare/yolo11-vs-yolov6/index.html
+++ b/compare/yolo11-vs-yolov6/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLO11 vs YOLOv6-3.0: A Detailed Model Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLO11, YOLOv6-3.0, model comparison, object detection, YOLO models, computer vision, machine learning, Ultralytics, accuracy, efficiency" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolo11-vs-yolov6" property="og:url"/><meta content="YOLO11 vs YOLOv6-3.0: A Detailed Model Comparison" property="og:title"/><meta content="Compare YOLO11 and YOLOv6-3.0 with insights on performance, accuracy, use cases, and architectures. Choose the best model for object detection tasks." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolo11-vs-yolov6" property="twitter:url"/><meta content="YOLO11 vs YOLOv6-3.0: A Detailed Model Comparison" property="twitter:title"/><meta content="Compare YOLO11 and YOLOv6-3.0 with insights on performance, accuracy, use cases, and architectures. Choose the best model for object detection tasks." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLO11 vs YOLOv6-3.0: A Detailed Model Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLO11 and YOLOv6-3.0 with insights on performance, accuracy, use cases, and architectures. Choose the best model for object detection tasks."}</script></head>
+<meta content="YOLO11 vs YOLOv6-3.0: A Detailed Model Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLO11, YOLOv6-3.0, model comparison, object detection, YOLO models, computer vision, machine learning, Ultralytics, accuracy, efficiency" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolo11-vs-yolov6" property="og:url"/><meta content="YOLO11 vs YOLOv6-3.0: A Detailed Model Comparison" property="og:title"/><meta content="Compare YOLO11 and YOLOv6-3.0 with insights on performance, accuracy, use cases, and architectures. Choose the best model for object detection tasks." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolo11-vs-yolov6" property="twitter:url"/><meta content="YOLO11 vs YOLOv6-3.0: A Detailed Model Comparison" property="twitter:title"/><meta content="Compare YOLO11 and YOLOv6-3.0 with insights on performance, accuracy, use cases, and architectures. Choose the best model for object detection tasks." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLO11 vs YOLOv6-3.0: A Detailed Model Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLO11 and YOLOv6-3.0 with insights on performance, accuracy, use cases, and architectures. Choose the best model for object detection tasks."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolo11-vs-yolov7/index.html b/compare/yolo11-vs-yolov7/index.html
index 3d238644b..a9cb68c4a 100644
--- a/compare/yolo11-vs-yolov7/index.html
+++ b/compare/yolo11-vs-yolov7/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLO11 vs YOLOv7: A Detailed Model Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLO11, YOLOv7, object detection, model comparison, YOLO performance metrics, advanced AI models, computer vision, benchmark metrics, AI applications" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolo11-vs-yolov7" property="og:url"/><meta content="YOLO11 vs YOLOv7: A Detailed Model Comparison" property="og:title"/><meta content="Compare YOLO11 and YOLOv7 for object detection. Discover key differences in architecture, performance, and use cases to choose the best model for your needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolo11-vs-yolov7" property="twitter:url"/><meta content="YOLO11 vs YOLOv7: A Detailed Model Comparison" property="twitter:title"/><meta content="Compare YOLO11 and YOLOv7 for object detection. Discover key differences in architecture, performance, and use cases to choose the best model for your needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLO11 vs YOLOv7: A Detailed Model Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLO11 and YOLOv7 for object detection. Discover key differences in architecture, performance, and use cases to choose the best model for your needs."}</script></head>
+<meta content="YOLO11 vs YOLOv7: A Detailed Model Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLO11, YOLOv7, object detection, model comparison, YOLO performance metrics, advanced AI models, computer vision, benchmark metrics, AI applications" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolo11-vs-yolov7" property="og:url"/><meta content="YOLO11 vs YOLOv7: A Detailed Model Comparison" property="og:title"/><meta content="Compare YOLO11 and YOLOv7 for object detection. Discover key differences in architecture, performance, and use cases to choose the best model for your needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolo11-vs-yolov7" property="twitter:url"/><meta content="YOLO11 vs YOLOv7: A Detailed Model Comparison" property="twitter:title"/><meta content="Compare YOLO11 and YOLOv7 for object detection. Discover key differences in architecture, performance, and use cases to choose the best model for your needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLO11 vs YOLOv7: A Detailed Model Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLO11 and YOLOv7 for object detection. Discover key differences in architecture, performance, and use cases to choose the best model for your needs."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolo11-vs-yolov8/index.html b/compare/yolo11-vs-yolov8/index.html
index 9ca33fc58..b3e0da0ee 100644
--- a/compare/yolo11-vs-yolov8/index.html
+++ b/compare/yolo11-vs-yolov8/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLO11 vs YOLOv8: A Technical Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLO11, YOLOv8, object detection, model comparison, computer vision, Ultralytics, AI performance metrics, advanced AI models" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolo11-vs-yolov8" property="og:url"/><meta content="YOLO11 vs YOLOv8: A Technical Comparison" property="og:title"/><meta content="Explore a technical comparison of YOLO11 and YOLOv8. Discover their performance, architecture, and best use cases for object detection." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolo11-vs-yolov8" property="twitter:url"/><meta content="YOLO11 vs YOLOv8: A Technical Comparison" property="twitter:title"/><meta content="Explore a technical comparison of YOLO11 and YOLOv8. Discover their performance, architecture, and best use cases for object detection." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLO11 vs YOLOv8: A Technical Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore a technical comparison of YOLO11 and YOLOv8. Discover their performance, architecture, and best use cases for object detection."}</script></head>
+<meta content="YOLO11 vs YOLOv8: A Technical Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLO11, YOLOv8, object detection, model comparison, computer vision, Ultralytics, AI performance metrics, advanced AI models" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolo11-vs-yolov8" property="og:url"/><meta content="YOLO11 vs YOLOv8: A Technical Comparison" property="og:title"/><meta content="Explore a technical comparison of YOLO11 and YOLOv8. Discover their performance, architecture, and best use cases for object detection." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolo11-vs-yolov8" property="twitter:url"/><meta content="YOLO11 vs YOLOv8: A Technical Comparison" property="twitter:title"/><meta content="Explore a technical comparison of YOLO11 and YOLOv8. Discover their performance, architecture, and best use cases for object detection." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLO11 vs YOLOv8: A Technical Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore a technical comparison of YOLO11 and YOLOv8. Discover their performance, architecture, and best use cases for object detection."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolo11-vs-yolov9/index.html b/compare/yolo11-vs-yolov9/index.html
index 4ba590143..3a7ae8891 100644
--- a/compare/yolo11-vs-yolov9/index.html
+++ b/compare/yolo11-vs-yolov9/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLO11 vs YOLOv9: A Technical Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLO11, YOLOv9, object detection, Ultralytics, computer vision, deep learning, model comparison, accuracy, efficiency, real-time AI" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolo11-vs-yolov9" property="og:url"/><meta content="YOLO11 vs YOLOv9: A Technical Comparison for Object Detection" property="og:title"/><meta content="Discover the technical differences, performance metrics, and applications of YOLO11 and YOLOv9. Choose the best object detection model for your needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolo11-vs-yolov9" property="twitter:url"/><meta content="YOLO11 vs YOLOv9: A Technical Comparison for Object Detection" property="twitter:title"/><meta content="Discover the technical differences, performance metrics, and applications of YOLO11 and YOLOv9. Choose the best object detection model for your needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLO11 vs YOLOv9: A Technical Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Discover the technical differences, performance metrics, and applications of YOLO11 and YOLOv9. Choose the best object detection model for your needs."}</script></head>
+<meta content="YOLO11 vs YOLOv9: A Technical Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLO11, YOLOv9, object detection, Ultralytics, computer vision, deep learning, model comparison, accuracy, efficiency, real-time AI" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolo11-vs-yolov9" property="og:url"/><meta content="YOLO11 vs YOLOv9: A Technical Comparison for Object Detection" property="og:title"/><meta content="Discover the technical differences, performance metrics, and applications of YOLO11 and YOLOv9. Choose the best object detection model for your needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolo11-vs-yolov9" property="twitter:url"/><meta content="YOLO11 vs YOLOv9: A Technical Comparison for Object Detection" property="twitter:title"/><meta content="Discover the technical differences, performance metrics, and applications of YOLO11 and YOLOv9. Choose the best object detection model for your needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLO11 vs YOLOv9: A Technical Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Discover the technical differences, performance metrics, and applications of YOLO11 and YOLOv9. Choose the best object detection model for your needs."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolo11-vs-yolox/index.html b/compare/yolo11-vs-yolox/index.html
index aa5fe4e7b..2e325f212 100644
--- a/compare/yolo11-vs-yolox/index.html
+++ b/compare/yolo11-vs-yolox/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLO11 vs YOLOX: A Detailed Model Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLO11, YOLOX, object detection, Ultralytics, machine learning, computer vision, model comparison, YOLO models, real-time detection, AI models" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolo11-vs-yolox" property="og:url"/><meta content="YOLO11 vs YOLOX: A Detailed Model Comparison for Object Detection" property="og:title"/><meta content="Compare YOLO11 and YOLOX for object detection. Explore performance, architecture, and use cases to choose the right model for your project." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolo11-vs-yolox" property="twitter:url"/><meta content="YOLO11 vs YOLOX: A Detailed Model Comparison for Object Detection" property="twitter:title"/><meta content="Compare YOLO11 and YOLOX for object detection. Explore performance, architecture, and use cases to choose the right model for your project." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLO11 vs YOLOX: A Detailed Model Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLO11 and YOLOX for object detection. Explore performance, architecture, and use cases to choose the right model for your project."}</script></head>
+<meta content="YOLO11 vs YOLOX: A Detailed Model Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLO11, YOLOX, object detection, Ultralytics, machine learning, computer vision, model comparison, YOLO models, real-time detection, AI models" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolo11-vs-yolox" property="og:url"/><meta content="YOLO11 vs YOLOX: A Detailed Model Comparison for Object Detection" property="og:title"/><meta content="Compare YOLO11 and YOLOX for object detection. Explore performance, architecture, and use cases to choose the right model for your project." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolo11-vs-yolox" property="twitter:url"/><meta content="YOLO11 vs YOLOX: A Detailed Model Comparison for Object Detection" property="twitter:title"/><meta content="Compare YOLO11 and YOLOX for object detection. Explore performance, architecture, and use cases to choose the right model for your project." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLO11 vs YOLOX: A Detailed Model Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLO11 and YOLOX for object detection. Explore performance, architecture, and use cases to choose the right model for your project."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolov10-vs-damo-yolo/index.html b/compare/yolov10-vs-damo-yolo/index.html
index a9a63125f..3dbbc7f6d 100644
--- a/compare/yolov10-vs-damo-yolo/index.html
+++ b/compare/yolov10-vs-damo-yolo/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLOv10 vs DAMO-YOLO: A Technical Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv10, DAMO-YOLO, object detection, YOLO comparison, computer vision, model benchmarks, Ultralytics, machine learning models, AI performance" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov10-vs-damo-yolo" property="og:url"/><meta content="YOLOv10 vs DAMO-YOLO: A Technical Comparison for Object Detection" property="og:title"/><meta content="Compare YOLOv10 and DAMO-YOLO with in-depth metrics, architectures, and use cases. Discover which model suits your object detection needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov10-vs-damo-yolo" property="twitter:url"/><meta content="YOLOv10 vs DAMO-YOLO: A Technical Comparison for Object Detection" property="twitter:title"/><meta content="Compare YOLOv10 and DAMO-YOLO with in-depth metrics, architectures, and use cases. Discover which model suits your object detection needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv10 vs DAMO-YOLO: A Technical Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOv10 and DAMO-YOLO with in-depth metrics, architectures, and use cases. Discover which model suits your object detection needs."}</script></head>
+<meta content="YOLOv10 vs DAMO-YOLO: A Technical Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv10, DAMO-YOLO, object detection, YOLO comparison, computer vision, model benchmarks, Ultralytics, machine learning models, AI performance" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov10-vs-damo-yolo" property="og:url"/><meta content="YOLOv10 vs DAMO-YOLO: A Technical Comparison for Object Detection" property="og:title"/><meta content="Compare YOLOv10 and DAMO-YOLO with in-depth metrics, architectures, and use cases. Discover which model suits your object detection needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov10-vs-damo-yolo" property="twitter:url"/><meta content="YOLOv10 vs DAMO-YOLO: A Technical Comparison for Object Detection" property="twitter:title"/><meta content="Compare YOLOv10 and DAMO-YOLO with in-depth metrics, architectures, and use cases. Discover which model suits your object detection needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv10 vs DAMO-YOLO: A Technical Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOv10 and DAMO-YOLO with in-depth metrics, architectures, and use cases. Discover which model suits your object detection needs."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolov10-vs-efficientdet/index.html b/compare/yolov10-vs-efficientdet/index.html
index 74d3e9d10..a1a9707b8 100644
--- a/compare/yolov10-vs-efficientdet/index.html
+++ b/compare/yolov10-vs-efficientdet/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLOv10 vs EfficientDet: A Detailed Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv10, EfficientDet, object detection, model comparison, computer vision, YOLO models, real-time detection, accurate detection" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov10-vs-efficientdet" property="og:url"/><meta content="YOLOv10 vs EfficientDet: A Detailed Comparison for Object Detection" property="og:title"/><meta content="Compare YOLOv10 and EfficientDet for object detection. Explore architecture, performance, and applications to make the best choice for your project." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov10-vs-efficientdet" property="twitter:url"/><meta content="YOLOv10 vs EfficientDet: A Detailed Comparison for Object Detection" property="twitter:title"/><meta content="Compare YOLOv10 and EfficientDet for object detection. Explore architecture, performance, and applications to make the best choice for your project." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv10 vs EfficientDet: A Detailed Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOv10 and EfficientDet for object detection. Explore architecture, performance, and applications to make the best choice for your project."}</script></head>
+<meta content="YOLOv10 vs EfficientDet: A Detailed Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv10, EfficientDet, object detection, model comparison, computer vision, YOLO models, real-time detection, accurate detection" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov10-vs-efficientdet" property="og:url"/><meta content="YOLOv10 vs EfficientDet: A Detailed Comparison for Object Detection" property="og:title"/><meta content="Compare YOLOv10 and EfficientDet for object detection. Explore architecture, performance, and applications to make the best choice for your project." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov10-vs-efficientdet" property="twitter:url"/><meta content="YOLOv10 vs EfficientDet: A Detailed Comparison for Object Detection" property="twitter:title"/><meta content="Compare YOLOv10 and EfficientDet for object detection. Explore architecture, performance, and applications to make the best choice for your project." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv10 vs EfficientDet: A Detailed Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOv10 and EfficientDet for object detection. Explore architecture, performance, and applications to make the best choice for your project."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolov10-vs-pp-yoloe/index.html b/compare/yolov10-vs-pp-yoloe/index.html
index ee17014a1..e937a68c6 100644
--- a/compare/yolov10-vs-pp-yoloe/index.html
+++ b/compare/yolov10-vs-pp-yoloe/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLOv10 vs PP-YOLOE+: A Technical Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv10, PP-YOLOE+, object detection, YOLO comparison, deep learning, computer vision, real-time detection, Ultralytics, PaddlePaddle" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov10-vs-pp-yoloe" property="og:url"/><meta content="YOLOv10 vs PP-YOLOE+: A Technical Comparison for Object Detection" property="og:title"/><meta content="Explore a detailed comparison of YOLOv10 and PP-YOLOE+ for object detection. Learn about their architectures, performance metrics, and best use cases." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov10-vs-pp-yoloe" property="twitter:url"/><meta content="YOLOv10 vs PP-YOLOE+: A Technical Comparison for Object Detection" property="twitter:title"/><meta content="Explore a detailed comparison of YOLOv10 and PP-YOLOE+ for object detection. Learn about their architectures, performance metrics, and best use cases." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv10 vs PP-YOLOE+: A Technical Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore a detailed comparison of YOLOv10 and PP-YOLOE+ for object detection. Learn about their architectures, performance metrics, and best use cases."}</script></head>
+<meta content="YOLOv10 vs PP-YOLOE+: A Technical Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv10, PP-YOLOE+, object detection, YOLO comparison, deep learning, computer vision, real-time detection, Ultralytics, PaddlePaddle" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov10-vs-pp-yoloe" property="og:url"/><meta content="YOLOv10 vs PP-YOLOE+: A Technical Comparison for Object Detection" property="og:title"/><meta content="Explore a detailed comparison of YOLOv10 and PP-YOLOE+ for object detection. Learn about their architectures, performance metrics, and best use cases." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov10-vs-pp-yoloe" property="twitter:url"/><meta content="YOLOv10 vs PP-YOLOE+: A Technical Comparison for Object Detection" property="twitter:title"/><meta content="Explore a detailed comparison of YOLOv10 and PP-YOLOE+ for object detection. Learn about their architectures, performance metrics, and best use cases." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv10 vs PP-YOLOE+: A Technical Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore a detailed comparison of YOLOv10 and PP-YOLOE+ for object detection. Learn about their architectures, performance metrics, and best use cases."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolov10-vs-rtdetr/index.html b/compare/yolov10-vs-rtdetr/index.html
index 5e73037be..24ef75491 100644
--- a/compare/yolov10-vs-rtdetr/index.html
+++ b/compare/yolov10-vs-rtdetr/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLOv10 vs RTDETRv2: A Detailed Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv10, RTDETRv2, object detection, machine learning, computer vision, YOLOv8, YOLO models, transformers, real-time object detection, model comparison" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov10-vs-rtdetr" property="og:url"/><meta content="YOLOv10 vs RTDETRv2: A Detailed Comparison" property="og:title"/><meta content="Explore a detailed comparison between YOLOv10 and RTDETRv2, two leading object detection models. Learn about their strengths, weaknesses, and use cases." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov10-vs-rtdetr" property="twitter:url"/><meta content="YOLOv10 vs RTDETRv2: A Detailed Comparison" property="twitter:title"/><meta content="Explore a detailed comparison between YOLOv10 and RTDETRv2, two leading object detection models. Learn about their strengths, weaknesses, and use cases." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv10 vs RTDETRv2: A Detailed Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore a detailed comparison between YOLOv10 and RTDETRv2, two leading object detection models. Learn about their strengths, weaknesses, and use cases."}</script></head>
+<meta content="YOLOv10 vs RTDETRv2: A Detailed Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv10, RTDETRv2, object detection, machine learning, computer vision, YOLOv8, YOLO models, transformers, real-time object detection, model comparison" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov10-vs-rtdetr" property="og:url"/><meta content="YOLOv10 vs RTDETRv2: A Detailed Comparison" property="og:title"/><meta content="Explore a detailed comparison between YOLOv10 and RTDETRv2, two leading object detection models. Learn about their strengths, weaknesses, and use cases." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov10-vs-rtdetr" property="twitter:url"/><meta content="YOLOv10 vs RTDETRv2: A Detailed Comparison" property="twitter:title"/><meta content="Explore a detailed comparison between YOLOv10 and RTDETRv2, two leading object detection models. Learn about their strengths, weaknesses, and use cases." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv10 vs RTDETRv2: A Detailed Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore a detailed comparison between YOLOv10 and RTDETRv2, two leading object detection models. Learn about their strengths, weaknesses, and use cases."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolov10-vs-yolo11/index.html b/compare/yolov10-vs-yolo11/index.html
index 54ba280b4..058816753 100644
--- a/compare/yolov10-vs-yolo11/index.html
+++ b/compare/yolov10-vs-yolo11/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLOv10 vs YOLO11: A Detailed Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv10, YOLO11, object detection, YOLO comparison, Ultralytics, real-time detection, computer vision, performance metrics, machine learning" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov10-vs-yolo11" property="og:url"/><meta content="YOLOv10 vs YOLO11: A Detailed Comparison" property="og:title"/><meta content="Compare YOLOv10 and YOLO11, cutting-edge object detection models by Ultralytics. Explore performance, accuracy, speed, and use cases for your projects." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov10-vs-yolo11" property="twitter:url"/><meta content="YOLOv10 vs YOLO11: A Detailed Comparison" property="twitter:title"/><meta content="Compare YOLOv10 and YOLO11, cutting-edge object detection models by Ultralytics. Explore performance, accuracy, speed, and use cases for your projects." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv10 vs YOLO11: A Detailed Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOv10 and YOLO11, cutting-edge object detection models by Ultralytics. Explore performance, accuracy, speed, and use cases for your projects."}</script></head>
+<meta content="YOLOv10 vs YOLO11: A Detailed Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv10, YOLO11, object detection, YOLO comparison, Ultralytics, real-time detection, computer vision, performance metrics, machine learning" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov10-vs-yolo11" property="og:url"/><meta content="YOLOv10 vs YOLO11: A Detailed Comparison" property="og:title"/><meta content="Compare YOLOv10 and YOLO11, cutting-edge object detection models by Ultralytics. Explore performance, accuracy, speed, and use cases for your projects." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov10-vs-yolo11" property="twitter:url"/><meta content="YOLOv10 vs YOLO11: A Detailed Comparison" property="twitter:title"/><meta content="Compare YOLOv10 and YOLO11, cutting-edge object detection models by Ultralytics. Explore performance, accuracy, speed, and use cases for your projects." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv10 vs YOLO11: A Detailed Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOv10 and YOLO11, cutting-edge object detection models by Ultralytics. Explore performance, accuracy, speed, and use cases for your projects."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolov10-vs-yolov5/index.html b/compare/yolov10-vs-yolov5/index.html
index 992faf50f..013385c4d 100644
--- a/compare/yolov10-vs-yolov5/index.html
+++ b/compare/yolov10-vs-yolov5/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLOv10 vs YOLOv5: A Detailed Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv10, YOLOv5, object detection, model comparison, Ultralytics, computer vision, performance metrics, real-time processing, AI models" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov10-vs-yolov5" property="og:url"/><meta content="YOLOv10 vs YOLOv5: A Detailed Comparison" property="og:title"/><meta content="Compare YOLOv10 and YOLOv5 models. Explore architectural differences, performance metrics, and use cases for cutting-edge object detection applications." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov10-vs-yolov5" property="twitter:url"/><meta content="YOLOv10 vs YOLOv5: A Detailed Comparison" property="twitter:title"/><meta content="Compare YOLOv10 and YOLOv5 models. Explore architectural differences, performance metrics, and use cases for cutting-edge object detection applications." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv10 vs YOLOv5: A Detailed Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOv10 and YOLOv5 models. Explore architectural differences, performance metrics, and use cases for cutting-edge object detection applications."}</script></head>
+<meta content="YOLOv10 vs YOLOv5: A Detailed Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv10, YOLOv5, object detection, model comparison, Ultralytics, computer vision, performance metrics, real-time processing, AI models" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov10-vs-yolov5" property="og:url"/><meta content="YOLOv10 vs YOLOv5: A Detailed Comparison" property="og:title"/><meta content="Compare YOLOv10 and YOLOv5 models. Explore architectural differences, performance metrics, and use cases for cutting-edge object detection applications." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov10-vs-yolov5" property="twitter:url"/><meta content="YOLOv10 vs YOLOv5: A Detailed Comparison" property="twitter:title"/><meta content="Compare YOLOv10 and YOLOv5 models. Explore architectural differences, performance metrics, and use cases for cutting-edge object detection applications." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv10 vs YOLOv5: A Detailed Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOv10 and YOLOv5 models. Explore architectural differences, performance metrics, and use cases for cutting-edge object detection applications."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolov10-vs-yolov6/index.html b/compare/yolov10-vs-yolov6/index.html
index d47dee31b..b31a77ce9 100644
--- a/compare/yolov10-vs-yolov6/index.html
+++ b/compare/yolov10-vs-yolov6/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLOv10 vs YOLOv6-3.0: A Technical Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv10, YOLOv6-3.0, object detection, model comparison, YOLO models, computer vision, real-time detection, machine learning" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov10-vs-yolov6" property="og:url"/><meta content="YOLOv10 vs YOLOv6-3.0: A Technical Comparison for Object Detection" property="og:title"/><meta content="Compare YOLOv10 and YOLOv6-3.0 for object detection. Explore differences in speed, accuracy, and use cases to find the best model for your needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov10-vs-yolov6" property="twitter:url"/><meta content="YOLOv10 vs YOLOv6-3.0: A Technical Comparison for Object Detection" property="twitter:title"/><meta content="Compare YOLOv10 and YOLOv6-3.0 for object detection. Explore differences in speed, accuracy, and use cases to find the best model for your needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv10 vs YOLOv6-3.0: A Technical Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOv10 and YOLOv6-3.0 for object detection. Explore differences in speed, accuracy, and use cases to find the best model for your needs."}</script></head>
+<meta content="YOLOv10 vs YOLOv6-3.0: A Technical Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv10, YOLOv6-3.0, object detection, model comparison, YOLO models, computer vision, real-time detection, machine learning" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov10-vs-yolov6" property="og:url"/><meta content="YOLOv10 vs YOLOv6-3.0: A Technical Comparison for Object Detection" property="og:title"/><meta content="Compare YOLOv10 and YOLOv6-3.0 for object detection. Explore differences in speed, accuracy, and use cases to find the best model for your needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov10-vs-yolov6" property="twitter:url"/><meta content="YOLOv10 vs YOLOv6-3.0: A Technical Comparison for Object Detection" property="twitter:title"/><meta content="Compare YOLOv10 and YOLOv6-3.0 for object detection. Explore differences in speed, accuracy, and use cases to find the best model for your needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv10 vs YOLOv6-3.0: A Technical Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOv10 and YOLOv6-3.0 for object detection. Explore differences in speed, accuracy, and use cases to find the best model for your needs."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolov10-vs-yolov7/index.html b/compare/yolov10-vs-yolov7/index.html
index 1c2e2b596..33139d0ab 100644
--- a/compare/yolov10-vs-yolov7/index.html
+++ b/compare/yolov10-vs-yolov7/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLOv10 vs YOLOv7: A Detailed Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv10, YOLOv7, Ultralytics, object detection, YOLO comparison, computer vision, AI models, real-time detection, YOLO performance" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov10-vs-yolov7" property="og:url"/><meta content="YOLOv10 vs YOLOv7: A Detailed Comparison" property="og:title"/><meta content="Compare YOLOv10 and YOLOv7 with details on architecture, performance, and applications. Find the best model for your object detection needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov10-vs-yolov7" property="twitter:url"/><meta content="YOLOv10 vs YOLOv7: A Detailed Comparison" property="twitter:title"/><meta content="Compare YOLOv10 and YOLOv7 with details on architecture, performance, and applications. Find the best model for your object detection needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv10 vs YOLOv7: A Detailed Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOv10 and YOLOv7 with details on architecture, performance, and applications. Find the best model for your object detection needs."}</script></head>
+<meta content="YOLOv10 vs YOLOv7: A Detailed Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv10, YOLOv7, Ultralytics, object detection, YOLO comparison, computer vision, AI models, real-time detection, YOLO performance" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov10-vs-yolov7" property="og:url"/><meta content="YOLOv10 vs YOLOv7: A Detailed Comparison" property="og:title"/><meta content="Compare YOLOv10 and YOLOv7 with details on architecture, performance, and applications. Find the best model for your object detection needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov10-vs-yolov7" property="twitter:url"/><meta content="YOLOv10 vs YOLOv7: A Detailed Comparison" property="twitter:title"/><meta content="Compare YOLOv10 and YOLOv7 with details on architecture, performance, and applications. Find the best model for your object detection needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv10 vs YOLOv7: A Detailed Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOv10 and YOLOv7 with details on architecture, performance, and applications. Find the best model for your object detection needs."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolov10-vs-yolov8/index.html b/compare/yolov10-vs-yolov8/index.html
index ebbb68cb5..d399958cd 100644
--- a/compare/yolov10-vs-yolov8/index.html
+++ b/compare/yolov10-vs-yolov8/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLOv10 vs YOLOv8: A Detailed Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv10, YOLOv8, YOLO comparison, object detection, real-time AI, model performance, YOLO architecture, machine learning" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov10-vs-yolov8" property="og:url"/><meta content="YOLOv10 vs YOLOv8: A Detailed Comparison" property="og:title"/><meta content="Compare YOLOv10 and YOLOv8 in-depth. Learn about their architectures, performance, and use cases to choose the best model for your needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov10-vs-yolov8" property="twitter:url"/><meta content="YOLOv10 vs YOLOv8: A Detailed Comparison" property="twitter:title"/><meta content="Compare YOLOv10 and YOLOv8 in-depth. Learn about their architectures, performance, and use cases to choose the best model for your needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv10 vs YOLOv8: A Detailed Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOv10 and YOLOv8 in-depth. Learn about their architectures, performance, and use cases to choose the best model for your needs."}</script></head>
+<meta content="YOLOv10 vs YOLOv8: A Detailed Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv10, YOLOv8, YOLO comparison, object detection, real-time AI, model performance, YOLO architecture, machine learning" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov10-vs-yolov8" property="og:url"/><meta content="YOLOv10 vs YOLOv8: A Detailed Comparison" property="og:title"/><meta content="Compare YOLOv10 and YOLOv8 in-depth. Learn about their architectures, performance, and use cases to choose the best model for your needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov10-vs-yolov8" property="twitter:url"/><meta content="YOLOv10 vs YOLOv8: A Detailed Comparison" property="twitter:title"/><meta content="Compare YOLOv10 and YOLOv8 in-depth. Learn about their architectures, performance, and use cases to choose the best model for your needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv10 vs YOLOv8: A Detailed Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOv10 and YOLOv8 in-depth. Learn about their architectures, performance, and use cases to choose the best model for your needs."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolov10-vs-yolov9/index.html b/compare/yolov10-vs-yolov9/index.html
index 605360dde..f92ec05f3 100644
--- a/compare/yolov10-vs-yolov9/index.html
+++ b/compare/yolov10-vs-yolov9/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLOv10 vs YOLOv9: A Detailed Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv10, YOLOv9, object detection comparison, YOLO architecture, YOLO benchmarks, YOLO performance, YOLO models, Ultralytics YOLO" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov10-vs-yolov9" property="og:url"/><meta content="YOLOv10 vs YOLOv9: A Detailed Comparison" property="og:title"/><meta content="Explore the differences between YOLOv10 and YOLOv9. Compare architecture, speed, accuracy, and use cases to choose the best model for your needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov10-vs-yolov9" property="twitter:url"/><meta content="YOLOv10 vs YOLOv9: A Detailed Comparison" property="twitter:title"/><meta content="Explore the differences between YOLOv10 and YOLOv9. Compare architecture, speed, accuracy, and use cases to choose the best model for your needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv10 vs YOLOv9: A Detailed Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore the differences between YOLOv10 and YOLOv9. Compare architecture, speed, accuracy, and use cases to choose the best model for your needs."}</script></head>
+<meta content="YOLOv10 vs YOLOv9: A Detailed Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv10, YOLOv9, object detection comparison, YOLO architecture, YOLO benchmarks, YOLO performance, YOLO models, Ultralytics YOLO" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov10-vs-yolov9" property="og:url"/><meta content="YOLOv10 vs YOLOv9: A Detailed Comparison" property="og:title"/><meta content="Explore the differences between YOLOv10 and YOLOv9. Compare architecture, speed, accuracy, and use cases to choose the best model for your needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov10-vs-yolov9" property="twitter:url"/><meta content="YOLOv10 vs YOLOv9: A Detailed Comparison" property="twitter:title"/><meta content="Explore the differences between YOLOv10 and YOLOv9. Compare architecture, speed, accuracy, and use cases to choose the best model for your needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv10 vs YOLOv9: A Detailed Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore the differences between YOLOv10 and YOLOv9. Compare architecture, speed, accuracy, and use cases to choose the best model for your needs."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolov10-vs-yolox/index.html b/compare/yolov10-vs-yolox/index.html
index 2c043de5e..553171499 100644
--- a/compare/yolov10-vs-yolox/index.html
+++ b/compare/yolov10-vs-yolox/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="Technical Comparison: YOLOv10 vs YOLOX for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv10, YOLOX, object detection, YOLO comparison, real-time models, computer vision, model benchmarks, performance analysis, YOLO review" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov10-vs-yolox" property="og:url"/><meta content="Technical Comparison: YOLOv10 vs YOLOX for Object Detection" property="og:title"/><meta content="Discover the key differences between YOLOv10 and YOLOX. Compare performance, architecture, speed, and use cases for optimal object detection." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov10-vs-yolox" property="twitter:url"/><meta content="Technical Comparison: YOLOv10 vs YOLOX for Object Detection" property="twitter:title"/><meta content="Discover the key differences between YOLOv10 and YOLOX. Compare performance, architecture, speed, and use cases for optimal object detection." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "Technical Comparison: YOLOv10 vs YOLOX for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Discover the key differences between YOLOv10 and YOLOX. Compare performance, architecture, speed, and use cases for optimal object detection."}</script></head>
+<meta content="Technical Comparison: YOLOv10 vs YOLOX for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv10, YOLOX, object detection, YOLO comparison, real-time models, computer vision, model benchmarks, performance analysis, YOLO review" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov10-vs-yolox" property="og:url"/><meta content="Technical Comparison: YOLOv10 vs YOLOX for Object Detection" property="og:title"/><meta content="Discover the key differences between YOLOv10 and YOLOX. Compare performance, architecture, speed, and use cases for optimal object detection." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov10-vs-yolox" property="twitter:url"/><meta content="Technical Comparison: YOLOv10 vs YOLOX for Object Detection" property="twitter:title"/><meta content="Discover the key differences between YOLOv10 and YOLOX. Compare performance, architecture, speed, and use cases for optimal object detection." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "Technical Comparison: YOLOv10 vs YOLOX for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Discover the key differences between YOLOv10 and YOLOX. Compare performance, architecture, speed, and use cases for optimal object detection."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolov5-vs-damo-yolo/index.html b/compare/yolov5-vs-damo-yolo/index.html
index 24bb1ed32..345ab45e5 100644
--- a/compare/yolov5-vs-damo-yolo/index.html
+++ b/compare/yolov5-vs-damo-yolo/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLOv5 vs DAMO-YOLO: A Detailed Model Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv5,DAMO-YOLO,object detection,model comparison,AI models,computer vision,YOLO,yolov5 vs damo-yolo,deep learning" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov5-vs-damo-yolo" property="og:url"/><meta content="YOLOv5 vs DAMO-YOLO: A Detailed Model Comparison" property="og:title"/><meta content="Discover the key differences between YOLOv5 and DAMO-YOLO, two leading object detection models. Compare architecture, performance, and use cases." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov5-vs-damo-yolo" property="twitter:url"/><meta content="YOLOv5 vs DAMO-YOLO: A Detailed Model Comparison" property="twitter:title"/><meta content="Discover the key differences between YOLOv5 and DAMO-YOLO, two leading object detection models. Compare architecture, performance, and use cases." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv5 vs DAMO-YOLO: A Detailed Model Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Discover the key differences between YOLOv5 and DAMO-YOLO, two leading object detection models. Compare architecture, performance, and use cases."}</script></head>
+<meta content="YOLOv5 vs DAMO-YOLO: A Detailed Model Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv5,DAMO-YOLO,object detection,model comparison,AI models,computer vision,YOLO,yolov5 vs damo-yolo,deep learning" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov5-vs-damo-yolo" property="og:url"/><meta content="YOLOv5 vs DAMO-YOLO: A Detailed Model Comparison" property="og:title"/><meta content="Discover the key differences between YOLOv5 and DAMO-YOLO, two leading object detection models. Compare architecture, performance, and use cases." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov5-vs-damo-yolo" property="twitter:url"/><meta content="YOLOv5 vs DAMO-YOLO: A Detailed Model Comparison" property="twitter:title"/><meta content="Discover the key differences between YOLOv5 and DAMO-YOLO, two leading object detection models. Compare architecture, performance, and use cases." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv5 vs DAMO-YOLO: A Detailed Model Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Discover the key differences between YOLOv5 and DAMO-YOLO, two leading object detection models. Compare architecture, performance, and use cases."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolov5-vs-efficientdet/index.html b/compare/yolov5-vs-efficientdet/index.html
index e3be28e3b..62f86889d 100644
--- a/compare/yolov5-vs-efficientdet/index.html
+++ b/compare/yolov5-vs-efficientdet/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLOv5 vs. EfficientDet: A Detailed Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv5,EfficientDet,object detection,computer vision,YOLO comparison,EfficientDet comparison,real-time detection,high-accuracy detection,Ultralytics models" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov5-vs-efficientdet" property="og:url"/><meta content="YOLOv5 vs. EfficientDet: A Detailed Comparison for Object Detection" property="og:title"/><meta content="Explore a detailed comparison between YOLOv5 and EfficientDet. Learn about architecture, performance, and use cases to choose the best object detection model." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov5-vs-efficientdet" property="twitter:url"/><meta content="YOLOv5 vs. EfficientDet: A Detailed Comparison for Object Detection" property="twitter:title"/><meta content="Explore a detailed comparison between YOLOv5 and EfficientDet. Learn about architecture, performance, and use cases to choose the best object detection model." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv5 vs. EfficientDet: A Detailed Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore a detailed comparison between YOLOv5 and EfficientDet. Learn about architecture, performance, and use cases to choose the best object detection model."}</script></head>
+<meta content="YOLOv5 vs. EfficientDet: A Detailed Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv5,EfficientDet,object detection,computer vision,YOLO comparison,EfficientDet comparison,real-time detection,high-accuracy detection,Ultralytics models" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov5-vs-efficientdet" property="og:url"/><meta content="YOLOv5 vs. EfficientDet: A Detailed Comparison for Object Detection" property="og:title"/><meta content="Explore a detailed comparison between YOLOv5 and EfficientDet. Learn about architecture, performance, and use cases to choose the best object detection model." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov5-vs-efficientdet" property="twitter:url"/><meta content="YOLOv5 vs. EfficientDet: A Detailed Comparison for Object Detection" property="twitter:title"/><meta content="Explore a detailed comparison between YOLOv5 and EfficientDet. Learn about architecture, performance, and use cases to choose the best object detection model." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv5 vs. EfficientDet: A Detailed Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore a detailed comparison between YOLOv5 and EfficientDet. Learn about architecture, performance, and use cases to choose the best object detection model."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolov5-vs-pp-yoloe/index.html b/compare/yolov5-vs-pp-yoloe/index.html
index aa2520e06..258f7e540 100644
--- a/compare/yolov5-vs-pp-yoloe/index.html
+++ b/compare/yolov5-vs-pp-yoloe/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLOv5 vs PP-YOLOE+: A Detailed Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv5, PP-YOLOE+, object detection, Ultralytics, YOLO, comparison, anchor-based, anchor-free, model performance" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov5-vs-pp-yoloe" property="og:url"/><meta content="YOLOv5 vs PP-YOLOE+: A Detailed Comparison" property="og:title"/><meta content="Compare YOLOv5 and PP-YOLOE+ for object detection. Learn their differences in architecture, performance, and applications to choose the right model." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov5-vs-pp-yoloe" property="twitter:url"/><meta content="YOLOv5 vs PP-YOLOE+: A Detailed Comparison" property="twitter:title"/><meta content="Compare YOLOv5 and PP-YOLOE+ for object detection. Learn their differences in architecture, performance, and applications to choose the right model." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv5 vs PP-YOLOE+: A Detailed Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOv5 and PP-YOLOE+ for object detection. Learn their differences in architecture, performance, and applications to choose the right model."}</script></head>
+<meta content="YOLOv5 vs PP-YOLOE+: A Detailed Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv5, PP-YOLOE+, object detection, Ultralytics, YOLO, comparison, anchor-based, anchor-free, model performance" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov5-vs-pp-yoloe" property="og:url"/><meta content="YOLOv5 vs PP-YOLOE+: A Detailed Comparison" property="og:title"/><meta content="Compare YOLOv5 and PP-YOLOE+ for object detection. Learn their differences in architecture, performance, and applications to choose the right model." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov5-vs-pp-yoloe" property="twitter:url"/><meta content="YOLOv5 vs PP-YOLOE+: A Detailed Comparison" property="twitter:title"/><meta content="Compare YOLOv5 and PP-YOLOE+ for object detection. Learn their differences in architecture, performance, and applications to choose the right model." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv5 vs PP-YOLOE+: A Detailed Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOv5 and PP-YOLOE+ for object detection. Learn their differences in architecture, performance, and applications to choose the right model."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolov5-vs-rtdetr/index.html b/compare/yolov5-vs-rtdetr/index.html
index 7c80999f2..aecd1482d 100644
--- a/compare/yolov5-vs-rtdetr/index.html
+++ b/compare/yolov5-vs-rtdetr/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLOv5 vs RT-DETR v2: A Detailed Model Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv5, RT-DETR v2, object detection, YOLO comparison, RT-DETR, Ultralytics models, performance metrics, computer vision, AI models" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov5-vs-rtdetr" property="og:url"/><meta content="YOLOv5 vs RT-DETR v2: A Detailed Model Comparison" property="og:title"/><meta content="Compare YOLOv5 and RT-DETR v2 object detection models — explore architecture, performance, and use cases to find the best fit for your project." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov5-vs-rtdetr" property="twitter:url"/><meta content="YOLOv5 vs RT-DETR v2: A Detailed Model Comparison" property="twitter:title"/><meta content="Compare YOLOv5 and RT-DETR v2 object detection models — explore architecture, performance, and use cases to find the best fit for your project." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv5 vs RT-DETR v2: A Detailed Model Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOv5 and RT-DETR v2 object detection models \u2014 explore architecture, performance, and use cases to find the best fit for your project."}</script></head>
+<meta content="YOLOv5 vs RT-DETR v2: A Detailed Model Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv5, RT-DETR v2, object detection, YOLO comparison, RT-DETR, Ultralytics models, performance metrics, computer vision, AI models" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov5-vs-rtdetr" property="og:url"/><meta content="YOLOv5 vs RT-DETR v2: A Detailed Model Comparison" property="og:title"/><meta content="Compare YOLOv5 and RT-DETR v2 object detection models — explore architecture, performance, and use cases to find the best fit for your project." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov5-vs-rtdetr" property="twitter:url"/><meta content="YOLOv5 vs RT-DETR v2: A Detailed Model Comparison" property="twitter:title"/><meta content="Compare YOLOv5 and RT-DETR v2 object detection models — explore architecture, performance, and use cases to find the best fit for your project." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv5 vs RT-DETR v2: A Detailed Model Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOv5 and RT-DETR v2 object detection models \u2014 explore architecture, performance, and use cases to find the best fit for your project."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolov5-vs-yolo11/index.html b/compare/yolov5-vs-yolo11/index.html
index d4fc835d4..9fe9e8491 100644
--- a/compare/yolov5-vs-yolo11/index.html
+++ b/compare/yolov5-vs-yolo11/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="Technical Comparison: YOLOv5 vs YOLO11 for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv5, YOLO11, object detection, computer vision, model comparison, YOLO models, Ultralytics, deep learning, architecture, performance metrics, real-time detection, machine learning" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov5-vs-yolo11" property="og:url"/><meta content="Technical Comparison: YOLOv5 vs YOLO11 for Object Detection" property="og:title"/><meta content="Explore a detailed comparison of YOLOv5 and YOLO11 models. Evaluate their architecture, performance, and use cases to find the best for your needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov5-vs-yolo11" property="twitter:url"/><meta content="Technical Comparison: YOLOv5 vs YOLO11 for Object Detection" property="twitter:title"/><meta content="Explore a detailed comparison of YOLOv5 and YOLO11 models. Evaluate their architecture, performance, and use cases to find the best for your needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "Technical Comparison: YOLOv5 vs YOLO11 for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore a detailed comparison of YOLOv5 and YOLO11 models. Evaluate their architecture, performance, and use cases to find the best for your needs."}</script></head>
+<meta content="Technical Comparison: YOLOv5 vs YOLO11 for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv5, YOLO11, object detection, computer vision, model comparison, YOLO models, Ultralytics, deep learning, architecture, performance metrics, real-time detection, machine learning" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov5-vs-yolo11" property="og:url"/><meta content="Technical Comparison: YOLOv5 vs YOLO11 for Object Detection" property="og:title"/><meta content="Explore a detailed comparison of YOLOv5 and YOLO11 models. Evaluate their architecture, performance, and use cases to find the best for your needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov5-vs-yolo11" property="twitter:url"/><meta content="Technical Comparison: YOLOv5 vs YOLO11 for Object Detection" property="twitter:title"/><meta content="Explore a detailed comparison of YOLOv5 and YOLO11 models. Evaluate their architecture, performance, and use cases to find the best for your needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "Technical Comparison: YOLOv5 vs YOLO11 for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore a detailed comparison of YOLOv5 and YOLO11 models. Evaluate their architecture, performance, and use cases to find the best for your needs."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolov5-vs-yolov10/index.html b/compare/yolov5-vs-yolov10/index.html
index 0f456b1e9..9092f1bc3 100644
--- a/compare/yolov5-vs-yolov10/index.html
+++ b/compare/yolov5-vs-yolov10/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLOv5 vs YOLOv10: A Detailed Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv5, YOLOv10, Ultralytics, object detection, machine learning, computer vision, model comparison, real-time detection, YOLO models, AI models" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov5-vs-yolov10" property="og:url"/><meta content="YOLOv5 vs YOLOv10: A Detailed Comparison" property="og:title"/><meta content="Compare YOLOv5 and YOLOv10 models by Ultralytics. Discover their architectures, performance, and use cases to choose the best for your project." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov5-vs-yolov10" property="twitter:url"/><meta content="YOLOv5 vs YOLOv10: A Detailed Comparison" property="twitter:title"/><meta content="Compare YOLOv5 and YOLOv10 models by Ultralytics. Discover their architectures, performance, and use cases to choose the best for your project." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv5 vs YOLOv10: A Detailed Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOv5 and YOLOv10 models by Ultralytics. Discover their architectures, performance, and use cases to choose the best for your project."}</script></head>
+<meta content="YOLOv5 vs YOLOv10: A Detailed Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv5, YOLOv10, Ultralytics, object detection, machine learning, computer vision, model comparison, real-time detection, YOLO models, AI models" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov5-vs-yolov10" property="og:url"/><meta content="YOLOv5 vs YOLOv10: A Detailed Comparison" property="og:title"/><meta content="Compare YOLOv5 and YOLOv10 models by Ultralytics. Discover their architectures, performance, and use cases to choose the best for your project." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov5-vs-yolov10" property="twitter:url"/><meta content="YOLOv5 vs YOLOv10: A Detailed Comparison" property="twitter:title"/><meta content="Compare YOLOv5 and YOLOv10 models by Ultralytics. Discover their architectures, performance, and use cases to choose the best for your project." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv5 vs YOLOv10: A Detailed Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOv5 and YOLOv10 models by Ultralytics. Discover their architectures, performance, and use cases to choose the best for your project."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolov5-vs-yolov6/index.html b/compare/yolov5-vs-yolov6/index.html
index dd27ad471..dcf268528 100644
--- a/compare/yolov5-vs-yolov6/index.html
+++ b/compare/yolov5-vs-yolov6/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLOv5 vs YOLOv6-3.0: A Detailed Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv5, YOLOv6-3.0, object detection, model comparison, computer vision, Ultralytics, real-time AI, speed vs accuracy" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov5-vs-yolov6" property="og:url"/><meta content="YOLOv5 vs YOLOv6-3.0: A Detailed Comparison" property="og:title"/><meta content="Compare YOLOv5 and YOLOv6-3.0 in speed, accuracy, and applications. Discover the ideal YOLO model for real-time object detection projects." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov5-vs-yolov6" property="twitter:url"/><meta content="YOLOv5 vs YOLOv6-3.0: A Detailed Comparison" property="twitter:title"/><meta content="Compare YOLOv5 and YOLOv6-3.0 in speed, accuracy, and applications. Discover the ideal YOLO model for real-time object detection projects." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv5 vs YOLOv6-3.0: A Detailed Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOv5 and YOLOv6-3.0 in speed, accuracy, and applications. Discover the ideal YOLO model for real-time object detection projects."}</script></head>
+<meta content="YOLOv5 vs YOLOv6-3.0: A Detailed Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv5, YOLOv6-3.0, object detection, model comparison, computer vision, Ultralytics, real-time AI, speed vs accuracy" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov5-vs-yolov6" property="og:url"/><meta content="YOLOv5 vs YOLOv6-3.0: A Detailed Comparison" property="og:title"/><meta content="Compare YOLOv5 and YOLOv6-3.0 in speed, accuracy, and applications. Discover the ideal YOLO model for real-time object detection projects." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov5-vs-yolov6" property="twitter:url"/><meta content="YOLOv5 vs YOLOv6-3.0: A Detailed Comparison" property="twitter:title"/><meta content="Compare YOLOv5 and YOLOv6-3.0 in speed, accuracy, and applications. Discover the ideal YOLO model for real-time object detection projects." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv5 vs YOLOv6-3.0: A Detailed Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOv5 and YOLOv6-3.0 in speed, accuracy, and applications. Discover the ideal YOLO model for real-time object detection projects."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolov5-vs-yolov7/index.html b/compare/yolov5-vs-yolov7/index.html
index 4c6c61137..0ca3771ab 100644
--- a/compare/yolov5-vs-yolov7/index.html
+++ b/compare/yolov5-vs-yolov7/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLOv5 vs YOLOv7: Detailed Model Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv5, YOLOv7, object detection, model comparison, YOLO models, Ultralytics, computer vision, performance metrics, architectures" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov5-vs-yolov7" property="og:url"/><meta content="YOLOv5 vs YOLOv7: Detailed Model Comparison for Object Detection" property="og:title"/><meta content="Compare YOLOv5 and YOLOv7 for object detection. Explore their architectures, performance metrics, strengths, weaknesses, and use cases." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov5-vs-yolov7" property="twitter:url"/><meta content="YOLOv5 vs YOLOv7: Detailed Model Comparison for Object Detection" property="twitter:title"/><meta content="Compare YOLOv5 and YOLOv7 for object detection. Explore their architectures, performance metrics, strengths, weaknesses, and use cases." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv5 vs YOLOv7: Detailed Model Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOv5 and YOLOv7 for object detection. Explore their architectures, performance metrics, strengths, weaknesses, and use cases."}</script></head>
+<meta content="YOLOv5 vs YOLOv7: Detailed Model Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv5, YOLOv7, object detection, model comparison, YOLO models, Ultralytics, computer vision, performance metrics, architectures" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov5-vs-yolov7" property="og:url"/><meta content="YOLOv5 vs YOLOv7: Detailed Model Comparison for Object Detection" property="og:title"/><meta content="Compare YOLOv5 and YOLOv7 for object detection. Explore their architectures, performance metrics, strengths, weaknesses, and use cases." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov5-vs-yolov7" property="twitter:url"/><meta content="YOLOv5 vs YOLOv7: Detailed Model Comparison for Object Detection" property="twitter:title"/><meta content="Compare YOLOv5 and YOLOv7 for object detection. Explore their architectures, performance metrics, strengths, weaknesses, and use cases." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv5 vs YOLOv7: Detailed Model Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOv5 and YOLOv7 for object detection. Explore their architectures, performance metrics, strengths, weaknesses, and use cases."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolov5-vs-yolov8/index.html b/compare/yolov5-vs-yolov8/index.html
index 0c0654ab8..cf2faa2de 100644
--- a/compare/yolov5-vs-yolov8/index.html
+++ b/compare/yolov5-vs-yolov8/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLOv5 vs YOLOv8: A Detailed Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv5, YOLOv8, object detection, model comparison, Ultralytics, AI models, computer vision, speed, accuracy, versatility" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov5-vs-yolov8" property="og:url"/><meta content="YOLOv5 vs YOLOv8: A Detailed Comparison for Object Detection" property="og:title"/><meta content="Discover key differences between YOLOv5 and YOLOv8. Compare speed, accuracy, and versatility to choose the right object detection model for your project." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov5-vs-yolov8" property="twitter:url"/><meta content="YOLOv5 vs YOLOv8: A Detailed Comparison for Object Detection" property="twitter:title"/><meta content="Discover key differences between YOLOv5 and YOLOv8. Compare speed, accuracy, and versatility to choose the right object detection model for your project." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv5 vs YOLOv8: A Detailed Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Discover key differences between YOLOv5 and YOLOv8. Compare speed, accuracy, and versatility to choose the right object detection model for your project."}</script></head>
+<meta content="YOLOv5 vs YOLOv8: A Detailed Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv5, YOLOv8, object detection, model comparison, Ultralytics, AI models, computer vision, speed, accuracy, versatility" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov5-vs-yolov8" property="og:url"/><meta content="YOLOv5 vs YOLOv8: A Detailed Comparison for Object Detection" property="og:title"/><meta content="Discover key differences between YOLOv5 and YOLOv8. Compare speed, accuracy, and versatility to choose the right object detection model for your project." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov5-vs-yolov8" property="twitter:url"/><meta content="YOLOv5 vs YOLOv8: A Detailed Comparison for Object Detection" property="twitter:title"/><meta content="Discover key differences between YOLOv5 and YOLOv8. Compare speed, accuracy, and versatility to choose the right object detection model for your project." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv5 vs YOLOv8: A Detailed Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Discover key differences between YOLOv5 and YOLOv8. Compare speed, accuracy, and versatility to choose the right object detection model for your project."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolov5-vs-yolov9/index.html b/compare/yolov5-vs-yolov9/index.html
index d9bd3aac4..d338dfb4e 100644
--- a/compare/yolov5-vs-yolov9/index.html
+++ b/compare/yolov5-vs-yolov9/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLOv5 vs YOLOv9: A Detailed Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv5, YOLOv9, object detection, AI models comparison, YOLO performance, Ultralytics, computer vision, YOLOv5 vs YOLOv9, deep learning models" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov5-vs-yolov9" property="og:url"/><meta content="YOLOv5 vs YOLOv9: A Detailed Comparison" property="og:title"/><meta content="Compare YOLOv5 and YOLOv9 models in terms of architecture, performance, and applications. Discover strengths, weaknesses, and ideal use cases." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov5-vs-yolov9" property="twitter:url"/><meta content="YOLOv5 vs YOLOv9: A Detailed Comparison" property="twitter:title"/><meta content="Compare YOLOv5 and YOLOv9 models in terms of architecture, performance, and applications. Discover strengths, weaknesses, and ideal use cases." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv5 vs YOLOv9: A Detailed Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOv5 and YOLOv9 models in terms of architecture, performance, and applications. Discover strengths, weaknesses, and ideal use cases."}</script></head>
+<meta content="YOLOv5 vs YOLOv9: A Detailed Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv5, YOLOv9, object detection, AI models comparison, YOLO performance, Ultralytics, computer vision, YOLOv5 vs YOLOv9, deep learning models" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov5-vs-yolov9" property="og:url"/><meta content="YOLOv5 vs YOLOv9: A Detailed Comparison" property="og:title"/><meta content="Compare YOLOv5 and YOLOv9 models in terms of architecture, performance, and applications. Discover strengths, weaknesses, and ideal use cases." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov5-vs-yolov9" property="twitter:url"/><meta content="YOLOv5 vs YOLOv9: A Detailed Comparison" property="twitter:title"/><meta content="Compare YOLOv5 and YOLOv9 models in terms of architecture, performance, and applications. Discover strengths, weaknesses, and ideal use cases." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv5 vs YOLOv9: A Detailed Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOv5 and YOLOv9 models in terms of architecture, performance, and applications. Discover strengths, weaknesses, and ideal use cases."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolov5-vs-yolox/index.html b/compare/yolov5-vs-yolox/index.html
index 3b8f10872..f34460f0e 100644
--- a/compare/yolov5-vs-yolox/index.html
+++ b/compare/yolov5-vs-yolox/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLOv5 vs YOLOX: A Detailed Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv5, YOLOX, Ultralytics, object detection, computer vision, AI models, YOLO comparison, model performance, machine learning" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov5-vs-yolox" property="og:url"/><meta content="YOLOv5 vs YOLOX: A Detailed Comparison for Object Detection" property="og:title"/><meta content="Discover the differences between YOLOv5 and YOLOX. Compare performance, accuracy, and use cases to choose the best object detection model for your needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov5-vs-yolox" property="twitter:url"/><meta content="YOLOv5 vs YOLOX: A Detailed Comparison for Object Detection" property="twitter:title"/><meta content="Discover the differences between YOLOv5 and YOLOX. Compare performance, accuracy, and use cases to choose the best object detection model for your needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv5 vs YOLOX: A Detailed Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Discover the differences between YOLOv5 and YOLOX. Compare performance, accuracy, and use cases to choose the best object detection model for your needs."}</script></head>
+<meta content="YOLOv5 vs YOLOX: A Detailed Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv5, YOLOX, Ultralytics, object detection, computer vision, AI models, YOLO comparison, model performance, machine learning" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov5-vs-yolox" property="og:url"/><meta content="YOLOv5 vs YOLOX: A Detailed Comparison for Object Detection" property="og:title"/><meta content="Discover the differences between YOLOv5 and YOLOX. Compare performance, accuracy, and use cases to choose the best object detection model for your needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov5-vs-yolox" property="twitter:url"/><meta content="YOLOv5 vs YOLOX: A Detailed Comparison for Object Detection" property="twitter:title"/><meta content="Discover the differences between YOLOv5 and YOLOX. Compare performance, accuracy, and use cases to choose the best object detection model for your needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv5 vs YOLOX: A Detailed Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Discover the differences between YOLOv5 and YOLOX. Compare performance, accuracy, and use cases to choose the best object detection model for your needs."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolov6-vs-damo-yolo/index.html b/compare/yolov6-vs-damo-yolo/index.html
index 3c0c1b8d4..fae4a9996 100644
--- a/compare/yolov6-vs-damo-yolo/index.html
+++ b/compare/yolov6-vs-damo-yolo/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="Model Comparison: YOLOv6-3.0 vs DAMO-YOLO for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv6-3.0, DAMO-YOLO, object detection, model comparison, computer vision, real-time AI, edge AI, accuracy, speed, inference, benchmarks" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov6-vs-damo-yolo" property="og:url"/><meta content="Model Comparison: YOLOv6-3.0 vs DAMO-YOLO for Object Detection" property="og:title"/><meta content="Explore a detailed comparison of YOLOv6-3.0 and DAMO-YOLO for object detection. Learn their strengths, weaknesses, benchmarks, and ideal applications." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov6-vs-damo-yolo" property="twitter:url"/><meta content="Model Comparison: YOLOv6-3.0 vs DAMO-YOLO for Object Detection" property="twitter:title"/><meta content="Explore a detailed comparison of YOLOv6-3.0 and DAMO-YOLO for object detection. Learn their strengths, weaknesses, benchmarks, and ideal applications." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "Model Comparison: YOLOv6-3.0 vs DAMO-YOLO for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore a detailed comparison of YOLOv6-3.0 and DAMO-YOLO for object detection. Learn their strengths, weaknesses, benchmarks, and ideal applications."}</script></head>
+<meta content="Model Comparison: YOLOv6-3.0 vs DAMO-YOLO for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv6-3.0, DAMO-YOLO, object detection, model comparison, computer vision, real-time AI, edge AI, accuracy, speed, inference, benchmarks" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov6-vs-damo-yolo" property="og:url"/><meta content="Model Comparison: YOLOv6-3.0 vs DAMO-YOLO for Object Detection" property="og:title"/><meta content="Explore a detailed comparison of YOLOv6-3.0 and DAMO-YOLO for object detection. Learn their strengths, weaknesses, benchmarks, and ideal applications." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov6-vs-damo-yolo" property="twitter:url"/><meta content="Model Comparison: YOLOv6-3.0 vs DAMO-YOLO for Object Detection" property="twitter:title"/><meta content="Explore a detailed comparison of YOLOv6-3.0 and DAMO-YOLO for object detection. Learn their strengths, weaknesses, benchmarks, and ideal applications." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "Model Comparison: YOLOv6-3.0 vs DAMO-YOLO for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore a detailed comparison of YOLOv6-3.0 and DAMO-YOLO for object detection. Learn their strengths, weaknesses, benchmarks, and ideal applications."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolov6-vs-efficientdet/index.html b/compare/yolov6-vs-efficientdet/index.html
index 0940c615e..79a6eef67 100644
--- a/compare/yolov6-vs-efficientdet/index.html
+++ b/compare/yolov6-vs-efficientdet/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLOv6-3.0 vs. EfficientDet: A Detailed Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv6, EfficientDet, object detection, model comparison, computer vision, real-time detection, EfficientNet, BiFPN, YOLO series, AI models" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov6-vs-efficientdet" property="og:url"/><meta content="YOLOv6-3.0 vs. EfficientDet: A Detailed Comparison" property="og:title"/><meta content="Compare YOLOv6-3.0 and EfficientDet performance, architecture, and use cases to choose the best model for your object detection needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov6-vs-efficientdet" property="twitter:url"/><meta content="YOLOv6-3.0 vs. EfficientDet: A Detailed Comparison" property="twitter:title"/><meta content="Compare YOLOv6-3.0 and EfficientDet performance, architecture, and use cases to choose the best model for your object detection needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv6-3.0 vs. EfficientDet: A Detailed Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOv6-3.0 and EfficientDet performance, architecture, and use cases to choose the best model for your object detection needs."}</script></head>
+<meta content="YOLOv6-3.0 vs. EfficientDet: A Detailed Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv6, EfficientDet, object detection, model comparison, computer vision, real-time detection, EfficientNet, BiFPN, YOLO series, AI models" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov6-vs-efficientdet" property="og:url"/><meta content="YOLOv6-3.0 vs. EfficientDet: A Detailed Comparison" property="og:title"/><meta content="Compare YOLOv6-3.0 and EfficientDet performance, architecture, and use cases to choose the best model for your object detection needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov6-vs-efficientdet" property="twitter:url"/><meta content="YOLOv6-3.0 vs. EfficientDet: A Detailed Comparison" property="twitter:title"/><meta content="Compare YOLOv6-3.0 and EfficientDet performance, architecture, and use cases to choose the best model for your object detection needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv6-3.0 vs. EfficientDet: A Detailed Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOv6-3.0 and EfficientDet performance, architecture, and use cases to choose the best model for your object detection needs."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolov6-vs-pp-yoloe/index.html b/compare/yolov6-vs-pp-yoloe/index.html
index 34844e222..8830cd965 100644
--- a/compare/yolov6-vs-pp-yoloe/index.html
+++ b/compare/yolov6-vs-pp-yoloe/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="Model Comparison: YOLOv6-3.0 vs PP-YOLOE+ for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv6, PP-YOLOE+, object detection, model comparison, YOLO models, computer vision, real-time detection, high accuracy, architecture, performance metrics" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov6-vs-pp-yoloe" property="og:url"/><meta content="Model Comparison: YOLOv6-3.0 vs PP-YOLOE+ for Object Detection" property="og:title"/><meta content="Compare YOLOv6-3.0 and PP-YOLOE+ for object detection. Discover key differences in architecture, performance, and ideal use cases." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov6-vs-pp-yoloe" property="twitter:url"/><meta content="Model Comparison: YOLOv6-3.0 vs PP-YOLOE+ for Object Detection" property="twitter:title"/><meta content="Compare YOLOv6-3.0 and PP-YOLOE+ for object detection. Discover key differences in architecture, performance, and ideal use cases." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "Model Comparison: YOLOv6-3.0 vs PP-YOLOE+ for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOv6-3.0 and PP-YOLOE+ for object detection. Discover key differences in architecture, performance, and ideal use cases."}</script></head>
+<meta content="Model Comparison: YOLOv6-3.0 vs PP-YOLOE+ for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv6, PP-YOLOE+, object detection, model comparison, YOLO models, computer vision, real-time detection, high accuracy, architecture, performance metrics" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov6-vs-pp-yoloe" property="og:url"/><meta content="Model Comparison: YOLOv6-3.0 vs PP-YOLOE+ for Object Detection" property="og:title"/><meta content="Compare YOLOv6-3.0 and PP-YOLOE+ for object detection. Discover key differences in architecture, performance, and ideal use cases." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov6-vs-pp-yoloe" property="twitter:url"/><meta content="Model Comparison: YOLOv6-3.0 vs PP-YOLOE+ for Object Detection" property="twitter:title"/><meta content="Compare YOLOv6-3.0 and PP-YOLOE+ for object detection. Discover key differences in architecture, performance, and ideal use cases." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "Model Comparison: YOLOv6-3.0 vs PP-YOLOE+ for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOv6-3.0 and PP-YOLOE+ for object detection. Discover key differences in architecture, performance, and ideal use cases."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolov6-vs-rtdetr/index.html b/compare/yolov6-vs-rtdetr/index.html
index 05606ed34..768a7460b 100644
--- a/compare/yolov6-vs-rtdetr/index.html
+++ b/compare/yolov6-vs-rtdetr/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLOv6-3.0 vs RTDETRv2: Detailed Model Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv6, RTDETRv2, object detection, model comparison, computer vision, real-time detection, Vision Transformers, CNN, Ultralytics" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov6-vs-rtdetr" property="og:url"/><meta content="YOLOv6-3.0 vs RTDETRv2: Detailed Model Comparison for Object Detection" property="og:title"/><meta content="Explore a detailed comparison between YOLOv6-3.0 and RTDETRv2 models for object detection, highlighting strengths, weaknesses, and performance metrics." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov6-vs-rtdetr" property="twitter:url"/><meta content="YOLOv6-3.0 vs RTDETRv2: Detailed Model Comparison for Object Detection" property="twitter:title"/><meta content="Explore a detailed comparison between YOLOv6-3.0 and RTDETRv2 models for object detection, highlighting strengths, weaknesses, and performance metrics." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv6-3.0 vs RTDETRv2: Detailed Model Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore a detailed comparison between YOLOv6-3.0 and RTDETRv2 models for object detection, highlighting strengths, weaknesses, and performance metrics."}</script></head>
+<meta content="YOLOv6-3.0 vs RTDETRv2: Detailed Model Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv6, RTDETRv2, object detection, model comparison, computer vision, real-time detection, Vision Transformers, CNN, Ultralytics" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov6-vs-rtdetr" property="og:url"/><meta content="YOLOv6-3.0 vs RTDETRv2: Detailed Model Comparison for Object Detection" property="og:title"/><meta content="Explore a detailed comparison between YOLOv6-3.0 and RTDETRv2 models for object detection, highlighting strengths, weaknesses, and performance metrics." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov6-vs-rtdetr" property="twitter:url"/><meta content="YOLOv6-3.0 vs RTDETRv2: Detailed Model Comparison for Object Detection" property="twitter:title"/><meta content="Explore a detailed comparison between YOLOv6-3.0 and RTDETRv2 models for object detection, highlighting strengths, weaknesses, and performance metrics." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv6-3.0 vs RTDETRv2: Detailed Model Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore a detailed comparison between YOLOv6-3.0 and RTDETRv2 models for object detection, highlighting strengths, weaknesses, and performance metrics."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolov6-vs-yolo11/index.html b/compare/yolov6-vs-yolo11/index.html
index 89535981b..dde62d4e0 100644
--- a/compare/yolov6-vs-yolo11/index.html
+++ b/compare/yolov6-vs-yolo11/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLOv6-3.0 vs YOLO11: A Technical Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv6-3.0, YOLO11, object detection, Ultralytics, computer vision, model comparison, deep learning, AI models, technical analysis, YOLO series" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov6-vs-yolo11" property="og:url"/><meta content="YOLOv6-3.0 vs YOLO11: A Technical Comparison for Object Detection" property="og:title"/><meta content="Compare YOLOv6-3.0 and YOLO11 object detection models. Explore performance metrics, architecture, and use cases for optimal model selection." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov6-vs-yolo11" property="twitter:url"/><meta content="YOLOv6-3.0 vs YOLO11: A Technical Comparison for Object Detection" property="twitter:title"/><meta content="Compare YOLOv6-3.0 and YOLO11 object detection models. Explore performance metrics, architecture, and use cases for optimal model selection." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv6-3.0 vs YOLO11: A Technical Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOv6-3.0 and YOLO11 object detection models. Explore performance metrics, architecture, and use cases for optimal model selection."}</script></head>
+<meta content="YOLOv6-3.0 vs YOLO11: A Technical Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv6-3.0, YOLO11, object detection, Ultralytics, computer vision, model comparison, deep learning, AI models, technical analysis, YOLO series" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov6-vs-yolo11" property="og:url"/><meta content="YOLOv6-3.0 vs YOLO11: A Technical Comparison for Object Detection" property="og:title"/><meta content="Compare YOLOv6-3.0 and YOLO11 object detection models. Explore performance metrics, architecture, and use cases for optimal model selection." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov6-vs-yolo11" property="twitter:url"/><meta content="YOLOv6-3.0 vs YOLO11: A Technical Comparison for Object Detection" property="twitter:title"/><meta content="Compare YOLOv6-3.0 and YOLO11 object detection models. Explore performance metrics, architecture, and use cases for optimal model selection." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv6-3.0 vs YOLO11: A Technical Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOv6-3.0 and YOLO11 object detection models. Explore performance metrics, architecture, and use cases for optimal model selection."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolov6-vs-yolov10/index.html b/compare/yolov6-vs-yolov10/index.html
index b4da3bf6b..b35825bfb 100644
--- a/compare/yolov6-vs-yolov10/index.html
+++ b/compare/yolov6-vs-yolov10/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLOv6-3.0 vs YOLOv10: A Technical Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv6-3.0, YOLOv10, object detection, model comparison, Ultralytics, technical comparison, computer vision, real-time detection, edge AI" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov6-vs-yolov10" property="og:url"/><meta content="YOLOv6-3.0 vs YOLOv10: A Technical Comparison" property="og:title"/><meta content="Explore a detailed technical comparison of YOLOv6-3.0 and YOLOv10. Learn their strengths, weaknesses, performance metrics, and ideal use cases." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov6-vs-yolov10" property="twitter:url"/><meta content="YOLOv6-3.0 vs YOLOv10: A Technical Comparison" property="twitter:title"/><meta content="Explore a detailed technical comparison of YOLOv6-3.0 and YOLOv10. Learn their strengths, weaknesses, performance metrics, and ideal use cases." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv6-3.0 vs YOLOv10: A Technical Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore a detailed technical comparison of YOLOv6-3.0 and YOLOv10. Learn their strengths, weaknesses, performance metrics, and ideal use cases."}</script></head>
+<meta content="YOLOv6-3.0 vs YOLOv10: A Technical Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv6-3.0, YOLOv10, object detection, model comparison, Ultralytics, technical comparison, computer vision, real-time detection, edge AI" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov6-vs-yolov10" property="og:url"/><meta content="YOLOv6-3.0 vs YOLOv10: A Technical Comparison" property="og:title"/><meta content="Explore a detailed technical comparison of YOLOv6-3.0 and YOLOv10. Learn their strengths, weaknesses, performance metrics, and ideal use cases." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov6-vs-yolov10" property="twitter:url"/><meta content="YOLOv6-3.0 vs YOLOv10: A Technical Comparison" property="twitter:title"/><meta content="Explore a detailed technical comparison of YOLOv6-3.0 and YOLOv10. Learn their strengths, weaknesses, performance metrics, and ideal use cases." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv6-3.0 vs YOLOv10: A Technical Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore a detailed technical comparison of YOLOv6-3.0 and YOLOv10. Learn their strengths, weaknesses, performance metrics, and ideal use cases."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolov6-vs-yolov5/index.html b/compare/yolov6-vs-yolov5/index.html
index e9d255553..aee0dc5cc 100644
--- a/compare/yolov6-vs-yolov5/index.html
+++ b/compare/yolov6-vs-yolov5/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLOv6-3.0 vs YOLOv5: A Detailed Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv5, YOLOv6-3.0, Ultralytics, object detection, model comparison, AI, deep learning, computer vision, performance benchmarks, PyTorch, industrial AI, YOLO models" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov6-vs-yolov5" property="og:url"/><meta content="YOLOv6-3.0 vs YOLOv5: A Detailed Comparison" property="og:title"/><meta content="Explore the ultimate YOLOv6-3.0 vs YOLOv5 comparison. Discover their architectures, performance benchmarks, strengths, and ideal applications." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov6-vs-yolov5" property="twitter:url"/><meta content="YOLOv6-3.0 vs YOLOv5: A Detailed Comparison" property="twitter:title"/><meta content="Explore the ultimate YOLOv6-3.0 vs YOLOv5 comparison. Discover their architectures, performance benchmarks, strengths, and ideal applications." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv6-3.0 vs YOLOv5: A Detailed Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore the ultimate YOLOv6-3.0 vs YOLOv5 comparison. Discover their architectures, performance benchmarks, strengths, and ideal applications."}</script></head>
+<meta content="YOLOv6-3.0 vs YOLOv5: A Detailed Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv5, YOLOv6-3.0, Ultralytics, object detection, model comparison, AI, deep learning, computer vision, performance benchmarks, PyTorch, industrial AI, YOLO models" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov6-vs-yolov5" property="og:url"/><meta content="YOLOv6-3.0 vs YOLOv5: A Detailed Comparison" property="og:title"/><meta content="Explore the ultimate YOLOv6-3.0 vs YOLOv5 comparison. Discover their architectures, performance benchmarks, strengths, and ideal applications." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov6-vs-yolov5" property="twitter:url"/><meta content="YOLOv6-3.0 vs YOLOv5: A Detailed Comparison" property="twitter:title"/><meta content="Explore the ultimate YOLOv6-3.0 vs YOLOv5 comparison. Discover their architectures, performance benchmarks, strengths, and ideal applications." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv6-3.0 vs YOLOv5: A Detailed Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore the ultimate YOLOv6-3.0 vs YOLOv5 comparison. Discover their architectures, performance benchmarks, strengths, and ideal applications."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolov6-vs-yolov7/index.html b/compare/yolov6-vs-yolov7/index.html
index 81e366951..bc00130ab 100644
--- a/compare/yolov6-vs-yolov7/index.html
+++ b/compare/yolov6-vs-yolov7/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLOv6-3.0 vs YOLOv7: Model Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv6-3.0, YOLOv7, object detection, model comparison, performance metrics, real-time AI, computer vision, Ultralytics, machine learning models" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov6-vs-yolov7" property="og:url"/><meta content="YOLOv6-3.0 vs YOLOv7: Model Comparison" property="og:title"/><meta content="Compare YOLOv6-3.0 and YOLOv7 object detection models. Explore strengths, weaknesses, performance metrics, and use cases for optimal selection." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov6-vs-yolov7" property="twitter:url"/><meta content="YOLOv6-3.0 vs YOLOv7: Model Comparison" property="twitter:title"/><meta content="Compare YOLOv6-3.0 and YOLOv7 object detection models. Explore strengths, weaknesses, performance metrics, and use cases for optimal selection." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv6-3.0 vs YOLOv7: Model Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOv6-3.0 and YOLOv7 object detection models. Explore strengths, weaknesses, performance metrics, and use cases for optimal selection."}</script></head>
+<meta content="YOLOv6-3.0 vs YOLOv7: Model Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv6-3.0, YOLOv7, object detection, model comparison, performance metrics, real-time AI, computer vision, Ultralytics, machine learning models" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov6-vs-yolov7" property="og:url"/><meta content="YOLOv6-3.0 vs YOLOv7: Model Comparison" property="og:title"/><meta content="Compare YOLOv6-3.0 and YOLOv7 object detection models. Explore strengths, weaknesses, performance metrics, and use cases for optimal selection." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov6-vs-yolov7" property="twitter:url"/><meta content="YOLOv6-3.0 vs YOLOv7: Model Comparison" property="twitter:title"/><meta content="Compare YOLOv6-3.0 and YOLOv7 object detection models. Explore strengths, weaknesses, performance metrics, and use cases for optimal selection." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv6-3.0 vs YOLOv7: Model Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOv6-3.0 and YOLOv7 object detection models. Explore strengths, weaknesses, performance metrics, and use cases for optimal selection."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolov6-vs-yolov8/index.html b/compare/yolov6-vs-yolov8/index.html
index 959ba8bd9..3076d7904 100644
--- a/compare/yolov6-vs-yolov8/index.html
+++ b/compare/yolov6-vs-yolov8/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLOv6-3.0 vs YOLOv8: A Technical Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv6-3.0, YOLOv8, object detection comparison, Ultralytics, YOLO models, performance metrics, computer vision, industrial applications" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov6-vs-yolov8" property="og:url"/><meta content="YOLOv6-3.0 vs YOLOv8: A Technical Comparison for Object Detection" property="og:title"/><meta content="Compare YOLOv6-3.0 and YOLOv8 for object detection. Discover key differences in performance, architecture, and use cases to choose the best model for your needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov6-vs-yolov8" property="twitter:url"/><meta content="YOLOv6-3.0 vs YOLOv8: A Technical Comparison for Object Detection" property="twitter:title"/><meta content="Compare YOLOv6-3.0 and YOLOv8 for object detection. Discover key differences in performance, architecture, and use cases to choose the best model for your needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv6-3.0 vs YOLOv8: A Technical Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOv6-3.0 and YOLOv8 for object detection. Discover key differences in performance, architecture, and use cases to choose the best model for your needs."}</script></head>
+<meta content="YOLOv6-3.0 vs YOLOv8: A Technical Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv6-3.0, YOLOv8, object detection comparison, Ultralytics, YOLO models, performance metrics, computer vision, industrial applications" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov6-vs-yolov8" property="og:url"/><meta content="YOLOv6-3.0 vs YOLOv8: A Technical Comparison for Object Detection" property="og:title"/><meta content="Compare YOLOv6-3.0 and YOLOv8 for object detection. Discover key differences in performance, architecture, and use cases to choose the best model for your needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov6-vs-yolov8" property="twitter:url"/><meta content="YOLOv6-3.0 vs YOLOv8: A Technical Comparison for Object Detection" property="twitter:title"/><meta content="Compare YOLOv6-3.0 and YOLOv8 for object detection. Discover key differences in performance, architecture, and use cases to choose the best model for your needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv6-3.0 vs YOLOv8: A Technical Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOv6-3.0 and YOLOv8 for object detection. Discover key differences in performance, architecture, and use cases to choose the best model for your needs."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolov6-vs-yolov9/index.html b/compare/yolov6-vs-yolov9/index.html
index 07cd8042d..d067f7eba 100644
--- a/compare/yolov6-vs-yolov9/index.html
+++ b/compare/yolov6-vs-yolov9/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="Model Comparison: YOLOv6-3.0 vs YOLOv9 for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv6, YOLOv9, object detection, model comparison, computer vision, real-time detection, deep learning, Ultralytics models, AI models, YOLO family" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov6-vs-yolov9" property="og:url"/><meta content="Model Comparison: YOLOv6-3.0 vs YOLOv9 for Object Detection" property="og:title"/><meta content="Explore a detailed comparison of YOLOv6-3.0 and YOLOv9. Discover their speed, accuracy, use cases, and which model suits your object detection needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov6-vs-yolov9" property="twitter:url"/><meta content="Model Comparison: YOLOv6-3.0 vs YOLOv9 for Object Detection" property="twitter:title"/><meta content="Explore a detailed comparison of YOLOv6-3.0 and YOLOv9. Discover their speed, accuracy, use cases, and which model suits your object detection needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "Model Comparison: YOLOv6-3.0 vs YOLOv9 for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore a detailed comparison of YOLOv6-3.0 and YOLOv9. Discover their speed, accuracy, use cases, and which model suits your object detection needs."}</script></head>
+<meta content="Model Comparison: YOLOv6-3.0 vs YOLOv9 for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv6, YOLOv9, object detection, model comparison, computer vision, real-time detection, deep learning, Ultralytics models, AI models, YOLO family" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov6-vs-yolov9" property="og:url"/><meta content="Model Comparison: YOLOv6-3.0 vs YOLOv9 for Object Detection" property="og:title"/><meta content="Explore a detailed comparison of YOLOv6-3.0 and YOLOv9. Discover their speed, accuracy, use cases, and which model suits your object detection needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov6-vs-yolov9" property="twitter:url"/><meta content="Model Comparison: YOLOv6-3.0 vs YOLOv9 for Object Detection" property="twitter:title"/><meta content="Explore a detailed comparison of YOLOv6-3.0 and YOLOv9. Discover their speed, accuracy, use cases, and which model suits your object detection needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "Model Comparison: YOLOv6-3.0 vs YOLOv9 for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore a detailed comparison of YOLOv6-3.0 and YOLOv9. Discover their speed, accuracy, use cases, and which model suits your object detection needs."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolov6-vs-yolox/index.html b/compare/yolov6-vs-yolox/index.html
index 23a8e2aeb..adaea0a72 100644
--- a/compare/yolov6-vs-yolox/index.html
+++ b/compare/yolov6-vs-yolox/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLOv6-3.0 vs YOLOX: A Detailed Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv6-3.0,YOLOX,object detection,model comparison,YOLO models,computer vision,performance metrics,deep learning,model efficiency" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov6-vs-yolox" property="og:url"/><meta content="YOLOv6-3.0 vs YOLOX: A Detailed Comparison for Object Detection" property="og:title"/><meta content="Compare YOLOv6-3.0 and YOLOX models for object detection. Explore performance, architecture, and use cases for efficient and accurate deployment." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov6-vs-yolox" property="twitter:url"/><meta content="YOLOv6-3.0 vs YOLOX: A Detailed Comparison for Object Detection" property="twitter:title"/><meta content="Compare YOLOv6-3.0 and YOLOX models for object detection. Explore performance, architecture, and use cases for efficient and accurate deployment." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv6-3.0 vs YOLOX: A Detailed Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOv6-3.0 and YOLOX models for object detection. Explore performance, architecture, and use cases for efficient and accurate deployment."}</script></head>
+<meta content="YOLOv6-3.0 vs YOLOX: A Detailed Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv6-3.0,YOLOX,object detection,model comparison,YOLO models,computer vision,performance metrics,deep learning,model efficiency" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov6-vs-yolox" property="og:url"/><meta content="YOLOv6-3.0 vs YOLOX: A Detailed Comparison for Object Detection" property="og:title"/><meta content="Compare YOLOv6-3.0 and YOLOX models for object detection. Explore performance, architecture, and use cases for efficient and accurate deployment." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov6-vs-yolox" property="twitter:url"/><meta content="YOLOv6-3.0 vs YOLOX: A Detailed Comparison for Object Detection" property="twitter:title"/><meta content="Compare YOLOv6-3.0 and YOLOX models for object detection. Explore performance, architecture, and use cases for efficient and accurate deployment." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv6-3.0 vs YOLOX: A Detailed Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOv6-3.0 and YOLOX models for object detection. Explore performance, architecture, and use cases for efficient and accurate deployment."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolov7-vs-damo-yolo/index.html b/compare/yolov7-vs-damo-yolo/index.html
index 475cfc8d2..fe785b606 100644
--- a/compare/yolov7-vs-damo-yolo/index.html
+++ b/compare/yolov7-vs-damo-yolo/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLOv7 vs DAMO-YOLO: A Technical Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv7, DAMO-YOLO, object detection, model comparison, AI models, computer vision, YOLO architecture, detection performance, edge devices, real-time AI" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov7-vs-damo-yolo" property="og:url"/><meta content="YOLOv7 vs DAMO-YOLO: A Technical Comparison for Object Detection" property="og:title"/><meta content="Explore the in-depth comparison between YOLOv7 and DAMO-YOLO. Learn about their performance, architecture, and use cases for optimal object detection." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov7-vs-damo-yolo" property="twitter:url"/><meta content="YOLOv7 vs DAMO-YOLO: A Technical Comparison for Object Detection" property="twitter:title"/><meta content="Explore the in-depth comparison between YOLOv7 and DAMO-YOLO. Learn about their performance, architecture, and use cases for optimal object detection." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv7 vs DAMO-YOLO: A Technical Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore the in-depth comparison between YOLOv7 and DAMO-YOLO. Learn about their performance, architecture, and use cases for optimal object detection."}</script></head>
+<meta content="YOLOv7 vs DAMO-YOLO: A Technical Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv7, DAMO-YOLO, object detection, model comparison, AI models, computer vision, YOLO architecture, detection performance, edge devices, real-time AI" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov7-vs-damo-yolo" property="og:url"/><meta content="YOLOv7 vs DAMO-YOLO: A Technical Comparison for Object Detection" property="og:title"/><meta content="Explore the in-depth comparison between YOLOv7 and DAMO-YOLO. Learn about their performance, architecture, and use cases for optimal object detection." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov7-vs-damo-yolo" property="twitter:url"/><meta content="YOLOv7 vs DAMO-YOLO: A Technical Comparison for Object Detection" property="twitter:title"/><meta content="Explore the in-depth comparison between YOLOv7 and DAMO-YOLO. Learn about their performance, architecture, and use cases for optimal object detection." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv7 vs DAMO-YOLO: A Technical Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore the in-depth comparison between YOLOv7 and DAMO-YOLO. Learn about their performance, architecture, and use cases for optimal object detection."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolov7-vs-efficientdet/index.html b/compare/yolov7-vs-efficientdet/index.html
index daa6be02c..ca315b9f0 100644
--- a/compare/yolov7-vs-efficientdet/index.html
+++ b/compare/yolov7-vs-efficientdet/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLOv7 vs EfficientDet: A Detailed Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv7,EfficientDet,object detection,model comparison,real-time detection,computer vision,scalable models,AI performance" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov7-vs-efficientdet" property="og:url"/><meta content="YOLOv7 vs EfficientDet: A Detailed Comparison for Object Detection" property="og:title"/><meta content="Compare YOLOv7 and EfficientDet in speed, accuracy, and scalability. Discover the best object detection model for real-time or resource-constrained projects." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov7-vs-efficientdet" property="twitter:url"/><meta content="YOLOv7 vs EfficientDet: A Detailed Comparison for Object Detection" property="twitter:title"/><meta content="Compare YOLOv7 and EfficientDet in speed, accuracy, and scalability. Discover the best object detection model for real-time or resource-constrained projects." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv7 vs EfficientDet: A Detailed Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOv7 and EfficientDet in speed, accuracy, and scalability. Discover the best object detection model for real-time or resource-constrained projects."}</script></head>
+<meta content="YOLOv7 vs EfficientDet: A Detailed Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv7,EfficientDet,object detection,model comparison,real-time detection,computer vision,scalable models,AI performance" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov7-vs-efficientdet" property="og:url"/><meta content="YOLOv7 vs EfficientDet: A Detailed Comparison for Object Detection" property="og:title"/><meta content="Compare YOLOv7 and EfficientDet in speed, accuracy, and scalability. Discover the best object detection model for real-time or resource-constrained projects." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov7-vs-efficientdet" property="twitter:url"/><meta content="YOLOv7 vs EfficientDet: A Detailed Comparison for Object Detection" property="twitter:title"/><meta content="Compare YOLOv7 and EfficientDet in speed, accuracy, and scalability. Discover the best object detection model for real-time or resource-constrained projects." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv7 vs EfficientDet: A Detailed Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOv7 and EfficientDet in speed, accuracy, and scalability. Discover the best object detection model for real-time or resource-constrained projects."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolov7-vs-pp-yoloe/index.html b/compare/yolov7-vs-pp-yoloe/index.html
index ed780255f..55a011286 100644
--- a/compare/yolov7-vs-pp-yoloe/index.html
+++ b/compare/yolov7-vs-pp-yoloe/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLOv7 vs PP-YOLOE+: A Technical Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv7,PP-YOLOE+,object detection,model comparison,YOLO series,real-time detection,anchor-free,Ultralytics,computer vision" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov7-vs-pp-yoloe" property="og:url"/><meta content="YOLOv7 vs PP-YOLOE+: A Technical Comparison for Object Detection" property="og:title"/><meta content="Explore the technical comparison of YOLOv7 and PP-YOLOE+, analyzing architecture, benchmarks, and use cases to find the best object detection model." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov7-vs-pp-yoloe" property="twitter:url"/><meta content="YOLOv7 vs PP-YOLOE+: A Technical Comparison for Object Detection" property="twitter:title"/><meta content="Explore the technical comparison of YOLOv7 and PP-YOLOE+, analyzing architecture, benchmarks, and use cases to find the best object detection model." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv7 vs PP-YOLOE+: A Technical Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore the technical comparison of YOLOv7 and PP-YOLOE+, analyzing architecture, benchmarks, and use cases to find the best object detection model."}</script></head>
+<meta content="YOLOv7 vs PP-YOLOE+: A Technical Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv7,PP-YOLOE+,object detection,model comparison,YOLO series,real-time detection,anchor-free,Ultralytics,computer vision" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov7-vs-pp-yoloe" property="og:url"/><meta content="YOLOv7 vs PP-YOLOE+: A Technical Comparison for Object Detection" property="og:title"/><meta content="Explore the technical comparison of YOLOv7 and PP-YOLOE+, analyzing architecture, benchmarks, and use cases to find the best object detection model." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov7-vs-pp-yoloe" property="twitter:url"/><meta content="YOLOv7 vs PP-YOLOE+: A Technical Comparison for Object Detection" property="twitter:title"/><meta content="Explore the technical comparison of YOLOv7 and PP-YOLOE+, analyzing architecture, benchmarks, and use cases to find the best object detection model." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv7 vs PP-YOLOE+: A Technical Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore the technical comparison of YOLOv7 and PP-YOLOE+, analyzing architecture, benchmarks, and use cases to find the best object detection model."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolov7-vs-rtdetr/index.html b/compare/yolov7-vs-rtdetr/index.html
index ed1ccf0a2..8a8eae184 100644
--- a/compare/yolov7-vs-rtdetr/index.html
+++ b/compare/yolov7-vs-rtdetr/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLOv7 vs RT-DETR: A Detailed Model Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv7, RT-DETR, object detection, model comparison, Ultralytics, Vision Transformers, CNN, real-time detection, computer vision" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov7-vs-rtdetr" property="og:url"/><meta content="YOLOv7 vs RT-DETR: A Detailed Model Comparison" property="og:title"/><meta content="Discover the differences between YOLOv7 and RT-DETR, two state-of-the-art object detection models. Compare performance, features, and use cases." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov7-vs-rtdetr" property="twitter:url"/><meta content="YOLOv7 vs RT-DETR: A Detailed Model Comparison" property="twitter:title"/><meta content="Discover the differences between YOLOv7 and RT-DETR, two state-of-the-art object detection models. Compare performance, features, and use cases." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv7 vs RT-DETR: A Detailed Model Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Discover the differences between YOLOv7 and RT-DETR, two state-of-the-art object detection models. Compare performance, features, and use cases."}</script></head>
+<meta content="YOLOv7 vs RT-DETR: A Detailed Model Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv7, RT-DETR, object detection, model comparison, Ultralytics, Vision Transformers, CNN, real-time detection, computer vision" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov7-vs-rtdetr" property="og:url"/><meta content="YOLOv7 vs RT-DETR: A Detailed Model Comparison" property="og:title"/><meta content="Discover the differences between YOLOv7 and RT-DETR, two state-of-the-art object detection models. Compare performance, features, and use cases." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov7-vs-rtdetr" property="twitter:url"/><meta content="YOLOv7 vs RT-DETR: A Detailed Model Comparison" property="twitter:title"/><meta content="Discover the differences between YOLOv7 and RT-DETR, two state-of-the-art object detection models. Compare performance, features, and use cases." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv7 vs RT-DETR: A Detailed Model Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Discover the differences between YOLOv7 and RT-DETR, two state-of-the-art object detection models. Compare performance, features, and use cases."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolov7-vs-yolo11/index.html b/compare/yolov7-vs-yolo11/index.html
index a0e0adba1..88cb112f8 100644
--- a/compare/yolov7-vs-yolo11/index.html
+++ b/compare/yolov7-vs-yolo11/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLOv7 vs YOLO11: A Detailed Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv7, YOLO11, object detection, model comparison, YOLO models, Ultralytics, computer vision, AI, deep learning, real-time detection" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov7-vs-yolo11" property="og:url"/><meta content="YOLOv7 vs YOLO11: A Detailed Comparison for Object Detection" property="og:title"/><meta content="Compare YOLOv7 and YOLO11 models in detail. Explore architectures, metrics, and applications to choose the best object detection solution." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov7-vs-yolo11" property="twitter:url"/><meta content="YOLOv7 vs YOLO11: A Detailed Comparison for Object Detection" property="twitter:title"/><meta content="Compare YOLOv7 and YOLO11 models in detail. Explore architectures, metrics, and applications to choose the best object detection solution." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv7 vs YOLO11: A Detailed Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOv7 and YOLO11 models in detail. Explore architectures, metrics, and applications to choose the best object detection solution."}</script></head>
+<meta content="YOLOv7 vs YOLO11: A Detailed Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv7, YOLO11, object detection, model comparison, YOLO models, Ultralytics, computer vision, AI, deep learning, real-time detection" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov7-vs-yolo11" property="og:url"/><meta content="YOLOv7 vs YOLO11: A Detailed Comparison for Object Detection" property="og:title"/><meta content="Compare YOLOv7 and YOLO11 models in detail. Explore architectures, metrics, and applications to choose the best object detection solution." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov7-vs-yolo11" property="twitter:url"/><meta content="YOLOv7 vs YOLO11: A Detailed Comparison for Object Detection" property="twitter:title"/><meta content="Compare YOLOv7 and YOLO11 models in detail. Explore architectures, metrics, and applications to choose the best object detection solution." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv7 vs YOLO11: A Detailed Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOv7 and YOLO11 models in detail. Explore architectures, metrics, and applications to choose the best object detection solution."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolov7-vs-yolov10/index.html b/compare/yolov7-vs-yolov10/index.html
index 44e94f1e3..4adddc791 100644
--- a/compare/yolov7-vs-yolov10/index.html
+++ b/compare/yolov7-vs-yolov10/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLOv7 vs YOLOv10: A Detailed Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv7, YOLOv10, object detection, model comparison, computer vision, real-time AI, AI models, YOLO performance" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov7-vs-yolov10" property="og:url"/><meta content="YOLOv7 vs YOLOv10: A Detailed Comparison" property="og:title"/><meta content="Explore a detailed comparison of YOLOv7 and YOLOv10. Learn about their architectures, performance, and use cases to choose the best model for your needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov7-vs-yolov10" property="twitter:url"/><meta content="YOLOv7 vs YOLOv10: A Detailed Comparison" property="twitter:title"/><meta content="Explore a detailed comparison of YOLOv7 and YOLOv10. Learn about their architectures, performance, and use cases to choose the best model for your needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv7 vs YOLOv10: A Detailed Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore a detailed comparison of YOLOv7 and YOLOv10. Learn about their architectures, performance, and use cases to choose the best model for your needs."}</script></head>
+<meta content="YOLOv7 vs YOLOv10: A Detailed Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv7, YOLOv10, object detection, model comparison, computer vision, real-time AI, AI models, YOLO performance" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov7-vs-yolov10" property="og:url"/><meta content="YOLOv7 vs YOLOv10: A Detailed Comparison" property="og:title"/><meta content="Explore a detailed comparison of YOLOv7 and YOLOv10. Learn about their architectures, performance, and use cases to choose the best model for your needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov7-vs-yolov10" property="twitter:url"/><meta content="YOLOv7 vs YOLOv10: A Detailed Comparison" property="twitter:title"/><meta content="Explore a detailed comparison of YOLOv7 and YOLOv10. Learn about their architectures, performance, and use cases to choose the best model for your needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv7 vs YOLOv10: A Detailed Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore a detailed comparison of YOLOv7 and YOLOv10. Learn about their architectures, performance, and use cases to choose the best model for your needs."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolov7-vs-yolov5/index.html b/compare/yolov7-vs-yolov5/index.html
index d836f0740..10fac0bd7 100644
--- a/compare/yolov7-vs-yolov5/index.html
+++ b/compare/yolov7-vs-yolov5/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLOv7 vs YOLOv5: A Detailed Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv7,YOLOv5,object detection,Ultralytics,performance metrics,model comparison,real-time applications,accuracy vs speed" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov7-vs-yolov5" property="og:url"/><meta content="YOLOv7 vs YOLOv5: A Detailed Comparison" property="og:title"/><meta content="Compare YOLOv7 and YOLOv5 for object detection. Explore their architectural differences, performance metrics, and ideal use cases." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov7-vs-yolov5" property="twitter:url"/><meta content="YOLOv7 vs YOLOv5: A Detailed Comparison" property="twitter:title"/><meta content="Compare YOLOv7 and YOLOv5 for object detection. Explore their architectural differences, performance metrics, and ideal use cases." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv7 vs YOLOv5: A Detailed Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOv7 and YOLOv5 for object detection. Explore their architectural differences, performance metrics, and ideal use cases."}</script></head>
+<meta content="YOLOv7 vs YOLOv5: A Detailed Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv7,YOLOv5,object detection,Ultralytics,performance metrics,model comparison,real-time applications,accuracy vs speed" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov7-vs-yolov5" property="og:url"/><meta content="YOLOv7 vs YOLOv5: A Detailed Comparison" property="og:title"/><meta content="Compare YOLOv7 and YOLOv5 for object detection. Explore their architectural differences, performance metrics, and ideal use cases." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov7-vs-yolov5" property="twitter:url"/><meta content="YOLOv7 vs YOLOv5: A Detailed Comparison" property="twitter:title"/><meta content="Compare YOLOv7 and YOLOv5 for object detection. Explore their architectural differences, performance metrics, and ideal use cases." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv7 vs YOLOv5: A Detailed Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOv7 and YOLOv5 for object detection. Explore their architectural differences, performance metrics, and ideal use cases."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolov7-vs-yolov6/index.html b/compare/yolov7-vs-yolov6/index.html
index 15449f3d4..83ed1174f 100644
--- a/compare/yolov7-vs-yolov6/index.html
+++ b/compare/yolov7-vs-yolov6/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="Model Comparison: YOLOv7 vs YOLOv6-3.0 for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv7, YOLOv6, object detection, model comparison, performance benchmarks, real-time detection, accuracy vs speed, computer vision" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov7-vs-yolov6" property="og:url"/><meta content="Model Comparison: YOLOv7 vs YOLOv6-3.0 for Object Detection" property="og:title"/><meta content="Compare YOLOv7 and YOLOv6-3.0 for object detection. Explore benchmarks, architecture, and use cases to choose the best model for your project." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov7-vs-yolov6" property="twitter:url"/><meta content="Model Comparison: YOLOv7 vs YOLOv6-3.0 for Object Detection" property="twitter:title"/><meta content="Compare YOLOv7 and YOLOv6-3.0 for object detection. Explore benchmarks, architecture, and use cases to choose the best model for your project." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "Model Comparison: YOLOv7 vs YOLOv6-3.0 for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOv7 and YOLOv6-3.0 for object detection. Explore benchmarks, architecture, and use cases to choose the best model for your project."}</script></head>
+<meta content="Model Comparison: YOLOv7 vs YOLOv6-3.0 for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv7, YOLOv6, object detection, model comparison, performance benchmarks, real-time detection, accuracy vs speed, computer vision" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov7-vs-yolov6" property="og:url"/><meta content="Model Comparison: YOLOv7 vs YOLOv6-3.0 for Object Detection" property="og:title"/><meta content="Compare YOLOv7 and YOLOv6-3.0 for object detection. Explore benchmarks, architecture, and use cases to choose the best model for your project." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov7-vs-yolov6" property="twitter:url"/><meta content="Model Comparison: YOLOv7 vs YOLOv6-3.0 for Object Detection" property="twitter:title"/><meta content="Compare YOLOv7 and YOLOv6-3.0 for object detection. Explore benchmarks, architecture, and use cases to choose the best model for your project." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "Model Comparison: YOLOv7 vs YOLOv6-3.0 for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOv7 and YOLOv6-3.0 for object detection. Explore benchmarks, architecture, and use cases to choose the best model for your project."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolov7-vs-yolov8/index.html b/compare/yolov7-vs-yolov8/index.html
index 2ec294fa3..a8c602b1c 100644
--- a/compare/yolov7-vs-yolov8/index.html
+++ b/compare/yolov7-vs-yolov8/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLOv7 vs YOLOv8: A Detailed Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv7, YOLOv8, object detection, real-time, Ultralytics, model comparison, computer vision, deep learning, AI models, speed, accuracy, performance" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov7-vs-yolov8" property="og:url"/><meta content="YOLOv7 vs YOLOv8: A Detailed Comparison for Object Detection" property="og:title"/><meta content="Discover the key differences between YOLOv7 and YOLOv8 in terms of speed, accuracy, use cases, and performance for real-time object detection." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov7-vs-yolov8" property="twitter:url"/><meta content="YOLOv7 vs YOLOv8: A Detailed Comparison for Object Detection" property="twitter:title"/><meta content="Discover the key differences between YOLOv7 and YOLOv8 in terms of speed, accuracy, use cases, and performance for real-time object detection." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv7 vs YOLOv8: A Detailed Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Discover the key differences between YOLOv7 and YOLOv8 in terms of speed, accuracy, use cases, and performance for real-time object detection."}</script></head>
+<meta content="YOLOv7 vs YOLOv8: A Detailed Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv7, YOLOv8, object detection, real-time, Ultralytics, model comparison, computer vision, deep learning, AI models, speed, accuracy, performance" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov7-vs-yolov8" property="og:url"/><meta content="YOLOv7 vs YOLOv8: A Detailed Comparison for Object Detection" property="og:title"/><meta content="Discover the key differences between YOLOv7 and YOLOv8 in terms of speed, accuracy, use cases, and performance for real-time object detection." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov7-vs-yolov8" property="twitter:url"/><meta content="YOLOv7 vs YOLOv8: A Detailed Comparison for Object Detection" property="twitter:title"/><meta content="Discover the key differences between YOLOv7 and YOLOv8 in terms of speed, accuracy, use cases, and performance for real-time object detection." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv7 vs YOLOv8: A Detailed Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Discover the key differences between YOLOv7 and YOLOv8 in terms of speed, accuracy, use cases, and performance for real-time object detection."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolov7-vs-yolov9/index.html b/compare/yolov7-vs-yolov9/index.html
index 773c19ff6..c87aeb904 100644
--- a/compare/yolov7-vs-yolov9/index.html
+++ b/compare/yolov7-vs-yolov9/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLOv7 vs YOLOv9: A Technical Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv7, YOLOv9, object detection, YOLO comparison, real-time detection, accuracy vs speed, Ultralytics models, computer vision" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov7-vs-yolov9" property="og:url"/><meta content="YOLOv7 vs YOLOv9: A Technical Comparison for Object Detection" property="og:title"/><meta content="Compare YOLOv7 and YOLOv9 for object detection. Explore architectures, performance metrics, and use cases to choose the best model for your task." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov7-vs-yolov9" property="twitter:url"/><meta content="YOLOv7 vs YOLOv9: A Technical Comparison for Object Detection" property="twitter:title"/><meta content="Compare YOLOv7 and YOLOv9 for object detection. Explore architectures, performance metrics, and use cases to choose the best model for your task." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv7 vs YOLOv9: A Technical Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOv7 and YOLOv9 for object detection. Explore architectures, performance metrics, and use cases to choose the best model for your task."}</script></head>
+<meta content="YOLOv7 vs YOLOv9: A Technical Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv7, YOLOv9, object detection, YOLO comparison, real-time detection, accuracy vs speed, Ultralytics models, computer vision" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov7-vs-yolov9" property="og:url"/><meta content="YOLOv7 vs YOLOv9: A Technical Comparison for Object Detection" property="og:title"/><meta content="Compare YOLOv7 and YOLOv9 for object detection. Explore architectures, performance metrics, and use cases to choose the best model for your task." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov7-vs-yolov9" property="twitter:url"/><meta content="YOLOv7 vs YOLOv9: A Technical Comparison for Object Detection" property="twitter:title"/><meta content="Compare YOLOv7 and YOLOv9 for object detection. Explore architectures, performance metrics, and use cases to choose the best model for your task." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv7 vs YOLOv9: A Technical Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOv7 and YOLOv9 for object detection. Explore architectures, performance metrics, and use cases to choose the best model for your task."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolov7-vs-yolox/index.html b/compare/yolov7-vs-yolox/index.html
index 620407d7d..1c32a5af3 100644
--- a/compare/yolov7-vs-yolox/index.html
+++ b/compare/yolov7-vs-yolox/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLOv7 vs YOLOX: A Detailed Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv7, YOLOX, object detection, model comparison, computer vision, YOLO models, AI, deep learning, performance benchmarks, model architecture" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov7-vs-yolox" property="og:url"/><meta content="YOLOv7 vs YOLOX: A Detailed Comparison for Object Detection" property="og:title"/><meta content="Compare YOLOv7 and YOLOX for object detection. Explore architecture, performance benchmarks, and use cases to choose the best model for your project." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov7-vs-yolox" property="twitter:url"/><meta content="YOLOv7 vs YOLOX: A Detailed Comparison for Object Detection" property="twitter:title"/><meta content="Compare YOLOv7 and YOLOX for object detection. Explore architecture, performance benchmarks, and use cases to choose the best model for your project." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv7 vs YOLOX: A Detailed Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOv7 and YOLOX for object detection. Explore architecture, performance benchmarks, and use cases to choose the best model for your project."}</script></head>
+<meta content="YOLOv7 vs YOLOX: A Detailed Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv7, YOLOX, object detection, model comparison, computer vision, YOLO models, AI, deep learning, performance benchmarks, model architecture" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov7-vs-yolox" property="og:url"/><meta content="YOLOv7 vs YOLOX: A Detailed Comparison for Object Detection" property="og:title"/><meta content="Compare YOLOv7 and YOLOX for object detection. Explore architecture, performance benchmarks, and use cases to choose the best model for your project." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov7-vs-yolox" property="twitter:url"/><meta content="YOLOv7 vs YOLOX: A Detailed Comparison for Object Detection" property="twitter:title"/><meta content="Compare YOLOv7 and YOLOX for object detection. Explore architecture, performance benchmarks, and use cases to choose the best model for your project." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv7 vs YOLOX: A Detailed Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOv7 and YOLOX for object detection. Explore architecture, performance benchmarks, and use cases to choose the best model for your project."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolov8-vs-damo-yolo/index.html b/compare/yolov8-vs-damo-yolo/index.html
index 0c94d4e03..7d4b1ec42 100644
--- a/compare/yolov8-vs-damo-yolo/index.html
+++ b/compare/yolov8-vs-damo-yolo/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLOv8 vs. DAMO-YOLO: A Detailed Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv8, DAMO-YOLO, object detection models, YOLO comparison, computer vision, model performance, AI models, YOLO guide, Ultralytics, DAMO Academy" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov8-vs-damo-yolo" property="og:url"/><meta content="YOLOv8 vs. DAMO-YOLO: A Detailed Comparison for Object Detection" property="og:title"/><meta content="Discover the key differences between YOLOv8 and DAMO-YOLO. Explore architecture, performance, and use cases to choose the right model for object detection." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov8-vs-damo-yolo" property="twitter:url"/><meta content="YOLOv8 vs. DAMO-YOLO: A Detailed Comparison for Object Detection" property="twitter:title"/><meta content="Discover the key differences between YOLOv8 and DAMO-YOLO. Explore architecture, performance, and use cases to choose the right model for object detection." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv8 vs. DAMO-YOLO: A Detailed Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Discover the key differences between YOLOv8 and DAMO-YOLO. Explore architecture, performance, and use cases to choose the right model for object detection."}</script></head>
+<meta content="YOLOv8 vs. DAMO-YOLO: A Detailed Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv8, DAMO-YOLO, object detection models, YOLO comparison, computer vision, model performance, AI models, YOLO guide, Ultralytics, DAMO Academy" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov8-vs-damo-yolo" property="og:url"/><meta content="YOLOv8 vs. DAMO-YOLO: A Detailed Comparison for Object Detection" property="og:title"/><meta content="Discover the key differences between YOLOv8 and DAMO-YOLO. Explore architecture, performance, and use cases to choose the right model for object detection." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov8-vs-damo-yolo" property="twitter:url"/><meta content="YOLOv8 vs. DAMO-YOLO: A Detailed Comparison for Object Detection" property="twitter:title"/><meta content="Discover the key differences between YOLOv8 and DAMO-YOLO. Explore architecture, performance, and use cases to choose the right model for object detection." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv8 vs. DAMO-YOLO: A Detailed Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Discover the key differences between YOLOv8 and DAMO-YOLO. Explore architecture, performance, and use cases to choose the right model for object detection."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolov8-vs-efficientdet/index.html b/compare/yolov8-vs-efficientdet/index.html
index 5c2f0fa2c..9808d4cbc 100644
--- a/compare/yolov8-vs-efficientdet/index.html
+++ b/compare/yolov8-vs-efficientdet/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="Model Comparison: YOLOv8 vs EfficientDet for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv8, EfficientDet, object detection, model comparison, Ultralytics, real-time detection, accuracy, scalability, AI models, computer vision" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov8-vs-efficientdet" property="og:url"/><meta content="Model Comparison: YOLOv8 vs EfficientDet for Object Detection" property="og:title"/><meta content="Discover the key differences between YOLOv8 and EfficientDet for object detection. Compare performance, accuracy, speed, use cases, and scalability." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov8-vs-efficientdet" property="twitter:url"/><meta content="Model Comparison: YOLOv8 vs EfficientDet for Object Detection" property="twitter:title"/><meta content="Discover the key differences between YOLOv8 and EfficientDet for object detection. Compare performance, accuracy, speed, use cases, and scalability." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "Model Comparison: YOLOv8 vs EfficientDet for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Discover the key differences between YOLOv8 and EfficientDet for object detection. Compare performance, accuracy, speed, use cases, and scalability."}</script></head>
+<meta content="Model Comparison: YOLOv8 vs EfficientDet for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv8, EfficientDet, object detection, model comparison, Ultralytics, real-time detection, accuracy, scalability, AI models, computer vision" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov8-vs-efficientdet" property="og:url"/><meta content="Model Comparison: YOLOv8 vs EfficientDet for Object Detection" property="og:title"/><meta content="Discover the key differences between YOLOv8 and EfficientDet for object detection. Compare performance, accuracy, speed, use cases, and scalability." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov8-vs-efficientdet" property="twitter:url"/><meta content="Model Comparison: YOLOv8 vs EfficientDet for Object Detection" property="twitter:title"/><meta content="Discover the key differences between YOLOv8 and EfficientDet for object detection. Compare performance, accuracy, speed, use cases, and scalability." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "Model Comparison: YOLOv8 vs EfficientDet for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Discover the key differences between YOLOv8 and EfficientDet for object detection. Compare performance, accuracy, speed, use cases, and scalability."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolov8-vs-pp-yoloe/index.html b/compare/yolov8-vs-pp-yoloe/index.html
index 321122fcb..9687c689d 100644
--- a/compare/yolov8-vs-pp-yoloe/index.html
+++ b/compare/yolov8-vs-pp-yoloe/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLOv8 vs PP-YOLOE+: A Technical Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv8, PP-YOLOE+, object detection, model comparison, YOLO, Ultralytics, PaddleDetection, real-time inference, machine learning, computer vision" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov8-vs-pp-yoloe" property="og:url"/><meta content="YOLOv8 vs PP-YOLOE+: A Technical Comparison for Object Detection" property="og:title"/><meta content="Dive into a detailed comparison of YOLOv8 and PP-YOLOE+. Understand their strengths, speeds, and accuracy to choose the ideal model for object detection." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov8-vs-pp-yoloe" property="twitter:url"/><meta content="YOLOv8 vs PP-YOLOE+: A Technical Comparison for Object Detection" property="twitter:title"/><meta content="Dive into a detailed comparison of YOLOv8 and PP-YOLOE+. Understand their strengths, speeds, and accuracy to choose the ideal model for object detection." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv8 vs PP-YOLOE+: A Technical Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Dive into a detailed comparison of YOLOv8 and PP-YOLOE+. Understand their strengths, speeds, and accuracy to choose the ideal model for object detection."}</script></head>
+<meta content="YOLOv8 vs PP-YOLOE+: A Technical Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv8, PP-YOLOE+, object detection, model comparison, YOLO, Ultralytics, PaddleDetection, real-time inference, machine learning, computer vision" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov8-vs-pp-yoloe" property="og:url"/><meta content="YOLOv8 vs PP-YOLOE+: A Technical Comparison for Object Detection" property="og:title"/><meta content="Dive into a detailed comparison of YOLOv8 and PP-YOLOE+. Understand their strengths, speeds, and accuracy to choose the ideal model for object detection." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov8-vs-pp-yoloe" property="twitter:url"/><meta content="YOLOv8 vs PP-YOLOE+: A Technical Comparison for Object Detection" property="twitter:title"/><meta content="Dive into a detailed comparison of YOLOv8 and PP-YOLOE+. Understand their strengths, speeds, and accuracy to choose the ideal model for object detection." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv8 vs PP-YOLOE+: A Technical Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Dive into a detailed comparison of YOLOv8 and PP-YOLOE+. Understand their strengths, speeds, and accuracy to choose the ideal model for object detection."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolov8-vs-rtdetr/index.html b/compare/yolov8-vs-rtdetr/index.html
index 91181d091..9673d31e0 100644
--- a/compare/yolov8-vs-rtdetr/index.html
+++ b/compare/yolov8-vs-rtdetr/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="Model Comparison: YOLOv8 vs RTDETRv2 for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv8, RTDETRv2, object detection, model comparison, AI models, computer vision, real-time detection, Vision Transformer, Ultralytics" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov8-vs-rtdetr" property="og:url"/><meta content="Model Comparison: YOLOv8 vs RTDETRv2 for Object Detection" property="og:title"/><meta content="Compare YOLOv8 and RTDETRv2 for object detection. Explore their architectures, performance, use cases, and choose the right model for your needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov8-vs-rtdetr" property="twitter:url"/><meta content="Model Comparison: YOLOv8 vs RTDETRv2 for Object Detection" property="twitter:title"/><meta content="Compare YOLOv8 and RTDETRv2 for object detection. Explore their architectures, performance, use cases, and choose the right model for your needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "Model Comparison: YOLOv8 vs RTDETRv2 for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOv8 and RTDETRv2 for object detection. Explore their architectures, performance, use cases, and choose the right model for your needs."}</script></head>
+<meta content="Model Comparison: YOLOv8 vs RTDETRv2 for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv8, RTDETRv2, object detection, model comparison, AI models, computer vision, real-time detection, Vision Transformer, Ultralytics" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov8-vs-rtdetr" property="og:url"/><meta content="Model Comparison: YOLOv8 vs RTDETRv2 for Object Detection" property="og:title"/><meta content="Compare YOLOv8 and RTDETRv2 for object detection. Explore their architectures, performance, use cases, and choose the right model for your needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov8-vs-rtdetr" property="twitter:url"/><meta content="Model Comparison: YOLOv8 vs RTDETRv2 for Object Detection" property="twitter:title"/><meta content="Compare YOLOv8 and RTDETRv2 for object detection. Explore their architectures, performance, use cases, and choose the right model for your needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "Model Comparison: YOLOv8 vs RTDETRv2 for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOv8 and RTDETRv2 for object detection. Explore their architectures, performance, use cases, and choose the right model for your needs."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolov8-vs-yolo11/index.html b/compare/yolov8-vs-yolo11/index.html
index 106091d49..b36836589 100644
--- a/compare/yolov8-vs-yolo11/index.html
+++ b/compare/yolov8-vs-yolo11/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLOv8 vs YOLO11: A Technical Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv8, YOLO11, object detection, computer vision, model comparison, Ultralytics, YOLO models, performance metrics, machine learning" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov8-vs-yolo11" property="og:url"/><meta content="YOLOv8 vs YOLO11: A Technical Comparison for Object Detection" property="og:title"/><meta content="Discover the key differences between YOLOv8 and YOLO11, including architecture, performance metrics, and best use cases for superior object detection." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov8-vs-yolo11" property="twitter:url"/><meta content="YOLOv8 vs YOLO11: A Technical Comparison for Object Detection" property="twitter:title"/><meta content="Discover the key differences between YOLOv8 and YOLO11, including architecture, performance metrics, and best use cases for superior object detection." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv8 vs YOLO11: A Technical Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Discover the key differences between YOLOv8 and YOLO11, including architecture, performance metrics, and best use cases for superior object detection."}</script></head>
+<meta content="YOLOv8 vs YOLO11: A Technical Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv8, YOLO11, object detection, computer vision, model comparison, Ultralytics, YOLO models, performance metrics, machine learning" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov8-vs-yolo11" property="og:url"/><meta content="YOLOv8 vs YOLO11: A Technical Comparison for Object Detection" property="og:title"/><meta content="Discover the key differences between YOLOv8 and YOLO11, including architecture, performance metrics, and best use cases for superior object detection." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov8-vs-yolo11" property="twitter:url"/><meta content="YOLOv8 vs YOLO11: A Technical Comparison for Object Detection" property="twitter:title"/><meta content="Discover the key differences between YOLOv8 and YOLO11, including architecture, performance metrics, and best use cases for superior object detection." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv8 vs YOLO11: A Technical Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Discover the key differences between YOLOv8 and YOLO11, including architecture, performance metrics, and best use cases for superior object detection."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolov8-vs-yolov10/index.html b/compare/yolov8-vs-yolov10/index.html
index 94aa729df..86b13232f 100644
--- a/compare/yolov8-vs-yolov10/index.html
+++ b/compare/yolov8-vs-yolov10/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="Model Comparison: YOLOv8 vs YOLOv10 for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv8, YOLOv10, object detection, Ultralytics, model comparison, computer vision, real-time AI, edge AI, YOLO models" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov8-vs-yolov10" property="og:url"/><meta content="Model Comparison: YOLOv8 vs YOLOv10 for Object Detection" property="og:title"/><meta content="Detailed comparison of YOLOv8 and YOLOv10 object detection models. Explore performance, architecture, and ideal use cases for your vision projects." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov8-vs-yolov10" property="twitter:url"/><meta content="Model Comparison: YOLOv8 vs YOLOv10 for Object Detection" property="twitter:title"/><meta content="Detailed comparison of YOLOv8 and YOLOv10 object detection models. Explore performance, architecture, and ideal use cases for your vision projects." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "Model Comparison: YOLOv8 vs YOLOv10 for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Detailed comparison of YOLOv8 and YOLOv10 object detection models. Explore performance, architecture, and ideal use cases for your vision projects."}</script></head>
+<meta content="Model Comparison: YOLOv8 vs YOLOv10 for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv8, YOLOv10, object detection, Ultralytics, model comparison, computer vision, real-time AI, edge AI, YOLO models" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov8-vs-yolov10" property="og:url"/><meta content="Model Comparison: YOLOv8 vs YOLOv10 for Object Detection" property="og:title"/><meta content="Detailed comparison of YOLOv8 and YOLOv10 object detection models. Explore performance, architecture, and ideal use cases for your vision projects." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov8-vs-yolov10" property="twitter:url"/><meta content="Model Comparison: YOLOv8 vs YOLOv10 for Object Detection" property="twitter:title"/><meta content="Detailed comparison of YOLOv8 and YOLOv10 object detection models. Explore performance, architecture, and ideal use cases for your vision projects." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "Model Comparison: YOLOv8 vs YOLOv10 for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Detailed comparison of YOLOv8 and YOLOv10 object detection models. Explore performance, architecture, and ideal use cases for your vision projects."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolov8-vs-yolov5/index.html b/compare/yolov8-vs-yolov5/index.html
index a852c0ed3..d25fa404a 100644
--- a/compare/yolov8-vs-yolov5/index.html
+++ b/compare/yolov8-vs-yolov5/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLOv8 vs YOLOv5: A Detailed Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv8, YOLOv5, object detection, comparison, Ultralytics, performance metrics, computer vision, machine learning, AI models, YOLO models" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov8-vs-yolov5" property="og:url"/><meta content="YOLOv8 vs YOLOv5: A Detailed Comparison" property="og:title"/><meta content="Discover the key differences between Ultralytics YOLOv8 and YOLOv5. Explore their performance, strengths, and use cases for optimal object detection." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov8-vs-yolov5" property="twitter:url"/><meta content="YOLOv8 vs YOLOv5: A Detailed Comparison" property="twitter:title"/><meta content="Discover the key differences between Ultralytics YOLOv8 and YOLOv5. Explore their performance, strengths, and use cases for optimal object detection." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv8 vs YOLOv5: A Detailed Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Discover the key differences between Ultralytics YOLOv8 and YOLOv5. Explore their performance, strengths, and use cases for optimal object detection."}</script></head>
+<meta content="YOLOv8 vs YOLOv5: A Detailed Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv8, YOLOv5, object detection, comparison, Ultralytics, performance metrics, computer vision, machine learning, AI models, YOLO models" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov8-vs-yolov5" property="og:url"/><meta content="YOLOv8 vs YOLOv5: A Detailed Comparison" property="og:title"/><meta content="Discover the key differences between Ultralytics YOLOv8 and YOLOv5. Explore their performance, strengths, and use cases for optimal object detection." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov8-vs-yolov5" property="twitter:url"/><meta content="YOLOv8 vs YOLOv5: A Detailed Comparison" property="twitter:title"/><meta content="Discover the key differences between Ultralytics YOLOv8 and YOLOv5. Explore their performance, strengths, and use cases for optimal object detection." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv8 vs YOLOv5: A Detailed Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Discover the key differences between Ultralytics YOLOv8 and YOLOv5. Explore their performance, strengths, and use cases for optimal object detection."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolov8-vs-yolov6/index.html b/compare/yolov8-vs-yolov6/index.html
index 757f9f172..4f0e47888 100644
--- a/compare/yolov8-vs-yolov6/index.html
+++ b/compare/yolov8-vs-yolov6/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLOv8 vs YOLOv6-3.0: A Detailed Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv8, YOLOv6-3.0, object detection, comparison, Ultralytics, AI models, machine learning, computer vision, model performance, technical features" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov8-vs-yolov6" property="og:url"/><meta content="YOLOv8 vs YOLOv6-3.0: A Detailed Comparison for Object Detection" property="og:title"/><meta content="Compare YOLOv8 and YOLOv6-3.0 for object detection. Discover key features, performance metrics, and use cases to select the best model for your needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov8-vs-yolov6" property="twitter:url"/><meta content="YOLOv8 vs YOLOv6-3.0: A Detailed Comparison for Object Detection" property="twitter:title"/><meta content="Compare YOLOv8 and YOLOv6-3.0 for object detection. Discover key features, performance metrics, and use cases to select the best model for your needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv8 vs YOLOv6-3.0: A Detailed Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOv8 and YOLOv6-3.0 for object detection. Discover key features, performance metrics, and use cases to select the best model for your needs."}</script></head>
+<meta content="YOLOv8 vs YOLOv6-3.0: A Detailed Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv8, YOLOv6-3.0, object detection, comparison, Ultralytics, AI models, machine learning, computer vision, model performance, technical features" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov8-vs-yolov6" property="og:url"/><meta content="YOLOv8 vs YOLOv6-3.0: A Detailed Comparison for Object Detection" property="og:title"/><meta content="Compare YOLOv8 and YOLOv6-3.0 for object detection. Discover key features, performance metrics, and use cases to select the best model for your needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov8-vs-yolov6" property="twitter:url"/><meta content="YOLOv8 vs YOLOv6-3.0: A Detailed Comparison for Object Detection" property="twitter:title"/><meta content="Compare YOLOv8 and YOLOv6-3.0 for object detection. Discover key features, performance metrics, and use cases to select the best model for your needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv8 vs YOLOv6-3.0: A Detailed Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOv8 and YOLOv6-3.0 for object detection. Discover key features, performance metrics, and use cases to select the best model for your needs."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolov8-vs-yolov7/index.html b/compare/yolov8-vs-yolov7/index.html
index 0cf9dc5ed..8f62418fa 100644
--- a/compare/yolov8-vs-yolov7/index.html
+++ b/compare/yolov8-vs-yolov7/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLOv8 vs YOLOv7: A Detailed Model Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv8, YOLOv7, object detection, YOLO comparison, Ultralytics, model comparison, anchor-free detection, real-time detection" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov8-vs-yolov7" property="og:url"/><meta content="YOLOv8 vs YOLOv7: A Detailed Model Comparison for Object Detection" property="og:title"/><meta content="Explore a detailed comparison of YOLOv8 vs YOLOv7. Discover differences in architecture, performance, and use cases to choose the right model." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov8-vs-yolov7" property="twitter:url"/><meta content="YOLOv8 vs YOLOv7: A Detailed Model Comparison for Object Detection" property="twitter:title"/><meta content="Explore a detailed comparison of YOLOv8 vs YOLOv7. Discover differences in architecture, performance, and use cases to choose the right model." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv8 vs YOLOv7: A Detailed Model Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore a detailed comparison of YOLOv8 vs YOLOv7. Discover differences in architecture, performance, and use cases to choose the right model."}</script></head>
+<meta content="YOLOv8 vs YOLOv7: A Detailed Model Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv8, YOLOv7, object detection, YOLO comparison, Ultralytics, model comparison, anchor-free detection, real-time detection" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov8-vs-yolov7" property="og:url"/><meta content="YOLOv8 vs YOLOv7: A Detailed Model Comparison for Object Detection" property="og:title"/><meta content="Explore a detailed comparison of YOLOv8 vs YOLOv7. Discover differences in architecture, performance, and use cases to choose the right model." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov8-vs-yolov7" property="twitter:url"/><meta content="YOLOv8 vs YOLOv7: A Detailed Model Comparison for Object Detection" property="twitter:title"/><meta content="Explore a detailed comparison of YOLOv8 vs YOLOv7. Discover differences in architecture, performance, and use cases to choose the right model." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv8 vs YOLOv7: A Detailed Model Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore a detailed comparison of YOLOv8 vs YOLOv7. Discover differences in architecture, performance, and use cases to choose the right model."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolov8-vs-yolov9/index.html b/compare/yolov8-vs-yolov9/index.html
index 7647b974d..8c2255801 100644
--- a/compare/yolov8-vs-yolov9/index.html
+++ b/compare/yolov8-vs-yolov9/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLOv8 vs YOLOv9: A Technical Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv8, YOLOv9, object detection, AI models comparison, computer vision, YOLO performance benchmarks, deep learning, Ultralytics models" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov8-vs-yolov9" property="og:url"/><meta content="YOLOv8 vs YOLOv9: A Technical Comparison for Object Detection" property="og:title"/><meta content="Discover the technical differences, performance benchmarks, and use cases of YOLOv8 and YOLOv9 to help you choose the best object detection model." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov8-vs-yolov9" property="twitter:url"/><meta content="YOLOv8 vs YOLOv9: A Technical Comparison for Object Detection" property="twitter:title"/><meta content="Discover the technical differences, performance benchmarks, and use cases of YOLOv8 and YOLOv9 to help you choose the best object detection model." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv8 vs YOLOv9: A Technical Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Discover the technical differences, performance benchmarks, and use cases of YOLOv8 and YOLOv9 to help you choose the best object detection model."}</script></head>
+<meta content="YOLOv8 vs YOLOv9: A Technical Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv8, YOLOv9, object detection, AI models comparison, computer vision, YOLO performance benchmarks, deep learning, Ultralytics models" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov8-vs-yolov9" property="og:url"/><meta content="YOLOv8 vs YOLOv9: A Technical Comparison for Object Detection" property="og:title"/><meta content="Discover the technical differences, performance benchmarks, and use cases of YOLOv8 and YOLOv9 to help you choose the best object detection model." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov8-vs-yolov9" property="twitter:url"/><meta content="YOLOv8 vs YOLOv9: A Technical Comparison for Object Detection" property="twitter:title"/><meta content="Discover the technical differences, performance benchmarks, and use cases of YOLOv8 and YOLOv9 to help you choose the best object detection model." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv8 vs YOLOv9: A Technical Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Discover the technical differences, performance benchmarks, and use cases of YOLOv8 and YOLOv9 to help you choose the best object detection model."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolov8-vs-yolox/index.html b/compare/yolov8-vs-yolox/index.html
index fa4f0b686..0f92efa0d 100644
--- a/compare/yolov8-vs-yolox/index.html
+++ b/compare/yolov8-vs-yolox/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="Model Comparison: YOLOv8 vs YOLOX for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv8,YOLOX,object detection,Ultralytics,model comparison,YOLO models,computer vision,AI performance,benchmarking" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov8-vs-yolox" property="og:url"/><meta content="Model Comparison: YOLOv8 vs YOLOX for Object Detection" property="og:title"/><meta content="Compare YOLOv8 and YOLOX in architecture, performance, and applications. Discover the best object detection model for your needs with Ultralytics." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov8-vs-yolox" property="twitter:url"/><meta content="Model Comparison: YOLOv8 vs YOLOX for Object Detection" property="twitter:title"/><meta content="Compare YOLOv8 and YOLOX in architecture, performance, and applications. Discover the best object detection model for your needs with Ultralytics." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "Model Comparison: YOLOv8 vs YOLOX for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOv8 and YOLOX in architecture, performance, and applications. Discover the best object detection model for your needs with Ultralytics."}</script></head>
+<meta content="Model Comparison: YOLOv8 vs YOLOX for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv8,YOLOX,object detection,Ultralytics,model comparison,YOLO models,computer vision,AI performance,benchmarking" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov8-vs-yolox" property="og:url"/><meta content="Model Comparison: YOLOv8 vs YOLOX for Object Detection" property="og:title"/><meta content="Compare YOLOv8 and YOLOX in architecture, performance, and applications. Discover the best object detection model for your needs with Ultralytics." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov8-vs-yolox" property="twitter:url"/><meta content="Model Comparison: YOLOv8 vs YOLOX for Object Detection" property="twitter:title"/><meta content="Compare YOLOv8 and YOLOX in architecture, performance, and applications. Discover the best object detection model for your needs with Ultralytics." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "Model Comparison: YOLOv8 vs YOLOX for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOv8 and YOLOX in architecture, performance, and applications. Discover the best object detection model for your needs with Ultralytics."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolov9-vs-damo-yolo/index.html b/compare/yolov9-vs-damo-yolo/index.html
index ef7d43c84..3d7ab5029 100644
--- a/compare/yolov9-vs-damo-yolo/index.html
+++ b/compare/yolov9-vs-damo-yolo/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLOv9 vs DAMO-YOLO: A Technical Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv9,DAMO-YOLO,object detection,YOLO comparison,Ultralytics,computer vision,model benchmarks,AI models,real-time detection" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov9-vs-damo-yolo" property="og:url"/><meta content="YOLOv9 vs DAMO-YOLO: A Technical Comparison for Object Detection" property="og:title"/><meta content="Compare YOLOv9 and DAMO-YOLO for object detection. Explore their accuracy, efficiency, benchmarks, and best use cases to choose your ideal solution." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov9-vs-damo-yolo" property="twitter:url"/><meta content="YOLOv9 vs DAMO-YOLO: A Technical Comparison for Object Detection" property="twitter:title"/><meta content="Compare YOLOv9 and DAMO-YOLO for object detection. Explore their accuracy, efficiency, benchmarks, and best use cases to choose your ideal solution." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv9 vs DAMO-YOLO: A Technical Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOv9 and DAMO-YOLO for object detection. Explore their accuracy, efficiency, benchmarks, and best use cases to choose your ideal solution."}</script></head>
+<meta content="YOLOv9 vs DAMO-YOLO: A Technical Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv9,DAMO-YOLO,object detection,YOLO comparison,Ultralytics,computer vision,model benchmarks,AI models,real-time detection" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov9-vs-damo-yolo" property="og:url"/><meta content="YOLOv9 vs DAMO-YOLO: A Technical Comparison for Object Detection" property="og:title"/><meta content="Compare YOLOv9 and DAMO-YOLO for object detection. Explore their accuracy, efficiency, benchmarks, and best use cases to choose your ideal solution." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov9-vs-damo-yolo" property="twitter:url"/><meta content="YOLOv9 vs DAMO-YOLO: A Technical Comparison for Object Detection" property="twitter:title"/><meta content="Compare YOLOv9 and DAMO-YOLO for object detection. Explore their accuracy, efficiency, benchmarks, and best use cases to choose your ideal solution." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv9 vs DAMO-YOLO: A Technical Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOv9 and DAMO-YOLO for object detection. Explore their accuracy, efficiency, benchmarks, and best use cases to choose your ideal solution."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolov9-vs-efficientdet/index.html b/compare/yolov9-vs-efficientdet/index.html
index 355eb603a..0456b52e4 100644
--- a/compare/yolov9-vs-efficientdet/index.html
+++ b/compare/yolov9-vs-efficientdet/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLOv9 vs. EfficientDet: A Detailed Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv9, EfficientDet, object detection, model comparison, computer vision, AI, machine learning, PGI, GELAN, BiFPN, efficient object detection" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov9-vs-efficientdet" property="og:url"/><meta content="YOLOv9 vs. EfficientDet: A Detailed Comparison" property="og:title"/><meta content="Compare YOLOv9 and EfficientDet for object detection. Explore differences in architecture, performance, and use cases to find the best fit for your project." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov9-vs-efficientdet" property="twitter:url"/><meta content="YOLOv9 vs. EfficientDet: A Detailed Comparison" property="twitter:title"/><meta content="Compare YOLOv9 and EfficientDet for object detection. Explore differences in architecture, performance, and use cases to find the best fit for your project." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv9 vs. EfficientDet: A Detailed Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOv9 and EfficientDet for object detection. Explore differences in architecture, performance, and use cases to find the best fit for your project."}</script></head>
+<meta content="YOLOv9 vs. EfficientDet: A Detailed Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv9, EfficientDet, object detection, model comparison, computer vision, AI, machine learning, PGI, GELAN, BiFPN, efficient object detection" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov9-vs-efficientdet" property="og:url"/><meta content="YOLOv9 vs. EfficientDet: A Detailed Comparison" property="og:title"/><meta content="Compare YOLOv9 and EfficientDet for object detection. Explore differences in architecture, performance, and use cases to find the best fit for your project." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov9-vs-efficientdet" property="twitter:url"/><meta content="YOLOv9 vs. EfficientDet: A Detailed Comparison" property="twitter:title"/><meta content="Compare YOLOv9 and EfficientDet for object detection. Explore differences in architecture, performance, and use cases to find the best fit for your project." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv9 vs. EfficientDet: A Detailed Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOv9 and EfficientDet for object detection. Explore differences in architecture, performance, and use cases to find the best fit for your project."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolov9-vs-pp-yoloe/index.html b/compare/yolov9-vs-pp-yoloe/index.html
index 9bb056a9e..fe562af53 100644
--- a/compare/yolov9-vs-pp-yoloe/index.html
+++ b/compare/yolov9-vs-pp-yoloe/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLOv9 vs PP-YOLOE+: A Technical Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv9, PP-YOLOE+, object detection, model comparison, AI models, computer vision, YOLO series, real-time detection, AI architecture" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov9-vs-pp-yoloe" property="og:url"/><meta content="YOLOv9 vs PP-YOLOE+: A Technical Comparison for Object Detection" property="og:title"/><meta content="Compare YOLOv9 and PP-YOLOE+ models for object detection. Explore their architecture, performance, strengths, weaknesses, and use cases." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov9-vs-pp-yoloe" property="twitter:url"/><meta content="YOLOv9 vs PP-YOLOE+: A Technical Comparison for Object Detection" property="twitter:title"/><meta content="Compare YOLOv9 and PP-YOLOE+ models for object detection. Explore their architecture, performance, strengths, weaknesses, and use cases." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv9 vs PP-YOLOE+: A Technical Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOv9 and PP-YOLOE+ models for object detection. Explore their architecture, performance, strengths, weaknesses, and use cases."}</script></head>
+<meta content="YOLOv9 vs PP-YOLOE+: A Technical Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv9, PP-YOLOE+, object detection, model comparison, AI models, computer vision, YOLO series, real-time detection, AI architecture" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov9-vs-pp-yoloe" property="og:url"/><meta content="YOLOv9 vs PP-YOLOE+: A Technical Comparison for Object Detection" property="og:title"/><meta content="Compare YOLOv9 and PP-YOLOE+ models for object detection. Explore their architecture, performance, strengths, weaknesses, and use cases." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov9-vs-pp-yoloe" property="twitter:url"/><meta content="YOLOv9 vs PP-YOLOE+: A Technical Comparison for Object Detection" property="twitter:title"/><meta content="Compare YOLOv9 and PP-YOLOE+ models for object detection. Explore their architecture, performance, strengths, weaknesses, and use cases." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv9 vs PP-YOLOE+: A Technical Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOv9 and PP-YOLOE+ models for object detection. Explore their architecture, performance, strengths, weaknesses, and use cases."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolov9-vs-rtdetr/index.html b/compare/yolov9-vs-rtdetr/index.html
index 82917c35d..c74f72278 100644
--- a/compare/yolov9-vs-rtdetr/index.html
+++ b/compare/yolov9-vs-rtdetr/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLOv9 vs RTDETRv2: A Technical Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv9, RTDETRv2, object detection, model comparison, Ultralytics, machine learning, computer vision, real-time detection, YOLO models" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov9-vs-rtdetr" property="og:url"/><meta content="YOLOv9 vs RTDETRv2: A Technical Comparison for Object Detection" property="og:title"/><meta content="Compare YOLOv9 and RTDETRv2 models in this in-depth analysis of architecture, performance, and real-world applications. Find the best fit for your needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov9-vs-rtdetr" property="twitter:url"/><meta content="YOLOv9 vs RTDETRv2: A Technical Comparison for Object Detection" property="twitter:title"/><meta content="Compare YOLOv9 and RTDETRv2 models in this in-depth analysis of architecture, performance, and real-world applications. Find the best fit for your needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv9 vs RTDETRv2: A Technical Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOv9 and RTDETRv2 models in this in-depth analysis of architecture, performance, and real-world applications. Find the best fit for your needs."}</script></head>
+<meta content="YOLOv9 vs RTDETRv2: A Technical Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv9, RTDETRv2, object detection, model comparison, Ultralytics, machine learning, computer vision, real-time detection, YOLO models" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov9-vs-rtdetr" property="og:url"/><meta content="YOLOv9 vs RTDETRv2: A Technical Comparison for Object Detection" property="og:title"/><meta content="Compare YOLOv9 and RTDETRv2 models in this in-depth analysis of architecture, performance, and real-world applications. Find the best fit for your needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov9-vs-rtdetr" property="twitter:url"/><meta content="YOLOv9 vs RTDETRv2: A Technical Comparison for Object Detection" property="twitter:title"/><meta content="Compare YOLOv9 and RTDETRv2 models in this in-depth analysis of architecture, performance, and real-world applications. Find the best fit for your needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv9 vs RTDETRv2: A Technical Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOv9 and RTDETRv2 models in this in-depth analysis of architecture, performance, and real-world applications. Find the best fit for your needs."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolov9-vs-yolo11/index.html b/compare/yolov9-vs-yolo11/index.html
index a6683f267..20d9a363f 100644
--- a/compare/yolov9-vs-yolo11/index.html
+++ b/compare/yolov9-vs-yolo11/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLOv9 vs YOLO11: A Detailed Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv9, YOLO11, object detection, model comparison, Ultralytics, real-time AI, machine learning, computer vision, edge AI, benchmarks, performance metrics" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov9-vs-yolo11" property="og:url"/><meta content="YOLOv9 vs YOLO11: A Detailed Comparison for Object Detection" property="og:title"/><meta content="Discover a detailed comparison of YOLOv9 and YOLO11 object detection models. Explore architecture, benchmarks, and use cases to choose the right model." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov9-vs-yolo11" property="twitter:url"/><meta content="YOLOv9 vs YOLO11: A Detailed Comparison for Object Detection" property="twitter:title"/><meta content="Discover a detailed comparison of YOLOv9 and YOLO11 object detection models. Explore architecture, benchmarks, and use cases to choose the right model." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv9 vs YOLO11: A Detailed Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Discover a detailed comparison of YOLOv9 and YOLO11 object detection models. Explore architecture, benchmarks, and use cases to choose the right model."}</script></head>
+<meta content="YOLOv9 vs YOLO11: A Detailed Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv9, YOLO11, object detection, model comparison, Ultralytics, real-time AI, machine learning, computer vision, edge AI, benchmarks, performance metrics" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov9-vs-yolo11" property="og:url"/><meta content="YOLOv9 vs YOLO11: A Detailed Comparison for Object Detection" property="og:title"/><meta content="Discover a detailed comparison of YOLOv9 and YOLO11 object detection models. Explore architecture, benchmarks, and use cases to choose the right model." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov9-vs-yolo11" property="twitter:url"/><meta content="YOLOv9 vs YOLO11: A Detailed Comparison for Object Detection" property="twitter:title"/><meta content="Discover a detailed comparison of YOLOv9 and YOLO11 object detection models. Explore architecture, benchmarks, and use cases to choose the right model." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv9 vs YOLO11: A Detailed Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Discover a detailed comparison of YOLOv9 and YOLO11 object detection models. Explore architecture, benchmarks, and use cases to choose the right model."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolov9-vs-yolov10/index.html b/compare/yolov9-vs-yolov10/index.html
index 79424a606..3869f4dde 100644
--- a/compare/yolov9-vs-yolov10/index.html
+++ b/compare/yolov9-vs-yolov10/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLOv9 vs YOLOv10: A Detailed Technical Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv9, YOLOv10, object detection, AI models, computer vision, model comparison, inference speed, performance metrics, Ultralytics, real-time detection" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov9-vs-yolov10" property="og:url"/><meta content="YOLOv9 vs YOLOv10: A Detailed Technical Comparison" property="og:title"/><meta content="Compare YOLOv9 and YOLOv10 — explore architectural differences, performance metrics, strengths, and ideal use cases for your AI vision tasks." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov9-vs-yolov10" property="twitter:url"/><meta content="YOLOv9 vs YOLOv10: A Detailed Technical Comparison" property="twitter:title"/><meta content="Compare YOLOv9 and YOLOv10 — explore architectural differences, performance metrics, strengths, and ideal use cases for your AI vision tasks." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv9 vs YOLOv10: A Detailed Technical Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOv9 and YOLOv10 \u2014 explore architectural differences, performance metrics, strengths, and ideal use cases for your AI vision tasks."}</script></head>
+<meta content="YOLOv9 vs YOLOv10: A Detailed Technical Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv9, YOLOv10, object detection, AI models, computer vision, model comparison, inference speed, performance metrics, Ultralytics, real-time detection" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov9-vs-yolov10" property="og:url"/><meta content="YOLOv9 vs YOLOv10: A Detailed Technical Comparison" property="og:title"/><meta content="Compare YOLOv9 and YOLOv10 — explore architectural differences, performance metrics, strengths, and ideal use cases for your AI vision tasks." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov9-vs-yolov10" property="twitter:url"/><meta content="YOLOv9 vs YOLOv10: A Detailed Technical Comparison" property="twitter:title"/><meta content="Compare YOLOv9 and YOLOv10 — explore architectural differences, performance metrics, strengths, and ideal use cases for your AI vision tasks." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv9 vs YOLOv10: A Detailed Technical Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOv9 and YOLOv10 \u2014 explore architectural differences, performance metrics, strengths, and ideal use cases for your AI vision tasks."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolov9-vs-yolov5/index.html b/compare/yolov9-vs-yolov5/index.html
index 2e671a8a0..96e34794b 100644
--- a/compare/yolov9-vs-yolov5/index.html
+++ b/compare/yolov9-vs-yolov5/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLOv9 vs YOLOv5: A Detailed Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv9, YOLOv5, object detection, comparison, model performance, speed, accuracy, Ultralytics, computer vision, real-time AI" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov9-vs-yolov5" property="og:url"/><meta content="YOLOv9 vs YOLOv5: A Detailed Comparison" property="og:title"/><meta content="Discover the differences between YOLOv9 and YOLOv5. Compare accuracy, speed, and use cases to select the best object detection model for your needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov9-vs-yolov5" property="twitter:url"/><meta content="YOLOv9 vs YOLOv5: A Detailed Comparison" property="twitter:title"/><meta content="Discover the differences between YOLOv9 and YOLOv5. Compare accuracy, speed, and use cases to select the best object detection model for your needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv9 vs YOLOv5: A Detailed Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Discover the differences between YOLOv9 and YOLOv5. Compare accuracy, speed, and use cases to select the best object detection model for your needs."}</script></head>
+<meta content="YOLOv9 vs YOLOv5: A Detailed Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv9, YOLOv5, object detection, comparison, model performance, speed, accuracy, Ultralytics, computer vision, real-time AI" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov9-vs-yolov5" property="og:url"/><meta content="YOLOv9 vs YOLOv5: A Detailed Comparison" property="og:title"/><meta content="Discover the differences between YOLOv9 and YOLOv5. Compare accuracy, speed, and use cases to select the best object detection model for your needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov9-vs-yolov5" property="twitter:url"/><meta content="YOLOv9 vs YOLOv5: A Detailed Comparison" property="twitter:title"/><meta content="Discover the differences between YOLOv9 and YOLOv5. Compare accuracy, speed, and use cases to select the best object detection model for your needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv9 vs YOLOv5: A Detailed Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Discover the differences between YOLOv9 and YOLOv5. Compare accuracy, speed, and use cases to select the best object detection model for your needs."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolov9-vs-yolov6/index.html b/compare/yolov9-vs-yolov6/index.html
index e4c080aad..b0fe3bfd5 100644
--- a/compare/yolov9-vs-yolov6/index.html
+++ b/compare/yolov9-vs-yolov6/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLOv9 vs YOLOv6-3.0: A Detailed Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv9, YOLOv6-3.0, object detection, computer vision, YOLO models, comparison, accuracy vs speed, AI models, machine learning, Ultralytics" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov9-vs-yolov6" property="og:url"/><meta content="YOLOv9 vs YOLOv6-3.0: A Detailed Comparison for Object Detection" property="og:title"/><meta content="Explore a detailed comparison of YOLOv9 and YOLOv6-3.0 for object detection. Compare architecture, metrics, and use cases for optimized performance." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov9-vs-yolov6" property="twitter:url"/><meta content="YOLOv9 vs YOLOv6-3.0: A Detailed Comparison for Object Detection" property="twitter:title"/><meta content="Explore a detailed comparison of YOLOv9 and YOLOv6-3.0 for object detection. Compare architecture, metrics, and use cases for optimized performance." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv9 vs YOLOv6-3.0: A Detailed Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore a detailed comparison of YOLOv9 and YOLOv6-3.0 for object detection. Compare architecture, metrics, and use cases for optimized performance."}</script></head>
+<meta content="YOLOv9 vs YOLOv6-3.0: A Detailed Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv9, YOLOv6-3.0, object detection, computer vision, YOLO models, comparison, accuracy vs speed, AI models, machine learning, Ultralytics" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov9-vs-yolov6" property="og:url"/><meta content="YOLOv9 vs YOLOv6-3.0: A Detailed Comparison for Object Detection" property="og:title"/><meta content="Explore a detailed comparison of YOLOv9 and YOLOv6-3.0 for object detection. Compare architecture, metrics, and use cases for optimized performance." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov9-vs-yolov6" property="twitter:url"/><meta content="YOLOv9 vs YOLOv6-3.0: A Detailed Comparison for Object Detection" property="twitter:title"/><meta content="Explore a detailed comparison of YOLOv9 and YOLOv6-3.0 for object detection. Compare architecture, metrics, and use cases for optimized performance." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv9 vs YOLOv6-3.0: A Detailed Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore a detailed comparison of YOLOv9 and YOLOv6-3.0 for object detection. Compare architecture, metrics, and use cases for optimized performance."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolov9-vs-yolov7/index.html b/compare/yolov9-vs-yolov7/index.html
index d4a1c7ea8..6390e9390 100644
--- a/compare/yolov9-vs-yolov7/index.html
+++ b/compare/yolov9-vs-yolov7/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLOv9 vs YOLOv7: A Detailed Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv9, YOLOv7, YOLO comparison, object detection, computer vision, deep learning, AI models, Ultralytics, model performance, YOLO architecture" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov9-vs-yolov7" property="og:url"/><meta content="YOLOv9 vs YOLOv7: A Detailed Comparison" property="og:title"/><meta content="Explore a detailed comparison between YOLOv9 and YOLOv7, highlighting performance, architecture, and which model fits your object detection needs best." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov9-vs-yolov7" property="twitter:url"/><meta content="YOLOv9 vs YOLOv7: A Detailed Comparison" property="twitter:title"/><meta content="Explore a detailed comparison between YOLOv9 and YOLOv7, highlighting performance, architecture, and which model fits your object detection needs best." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv9 vs YOLOv7: A Detailed Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore a detailed comparison between YOLOv9 and YOLOv7, highlighting performance, architecture, and which model fits your object detection needs best."}</script></head>
+<meta content="YOLOv9 vs YOLOv7: A Detailed Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv9, YOLOv7, YOLO comparison, object detection, computer vision, deep learning, AI models, Ultralytics, model performance, YOLO architecture" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov9-vs-yolov7" property="og:url"/><meta content="YOLOv9 vs YOLOv7: A Detailed Comparison" property="og:title"/><meta content="Explore a detailed comparison between YOLOv9 and YOLOv7, highlighting performance, architecture, and which model fits your object detection needs best." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov9-vs-yolov7" property="twitter:url"/><meta content="YOLOv9 vs YOLOv7: A Detailed Comparison" property="twitter:title"/><meta content="Explore a detailed comparison between YOLOv9 and YOLOv7, highlighting performance, architecture, and which model fits your object detection needs best." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv9 vs YOLOv7: A Detailed Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore a detailed comparison between YOLOv9 and YOLOv7, highlighting performance, architecture, and which model fits your object detection needs best."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolov9-vs-yolov8/index.html b/compare/yolov9-vs-yolov8/index.html
index 623b9ce7b..a57a4e5aa 100644
--- a/compare/yolov9-vs-yolov8/index.html
+++ b/compare/yolov9-vs-yolov8/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLOv9 vs YOLOv8: A Technical Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv9, YOLOv8, YOLO comparison, object detection, machine learning, computer vision, model performance, real-time detection, Ultralytics" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov9-vs-yolov8" property="og:url"/><meta content="YOLOv9 vs YOLOv8: A Technical Comparison" property="og:title"/><meta content="Explore the key differences between YOLOv9 and YOLOv8. Compare architecture, performance, and use cases to find the best model for your tasks." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov9-vs-yolov8" property="twitter:url"/><meta content="YOLOv9 vs YOLOv8: A Technical Comparison" property="twitter:title"/><meta content="Explore the key differences between YOLOv9 and YOLOv8. Compare architecture, performance, and use cases to find the best model for your tasks." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv9 vs YOLOv8: A Technical Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore the key differences between YOLOv9 and YOLOv8. Compare architecture, performance, and use cases to find the best model for your tasks."}</script></head>
+<meta content="YOLOv9 vs YOLOv8: A Technical Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv9, YOLOv8, YOLO comparison, object detection, machine learning, computer vision, model performance, real-time detection, Ultralytics" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov9-vs-yolov8" property="og:url"/><meta content="YOLOv9 vs YOLOv8: A Technical Comparison" property="og:title"/><meta content="Explore the key differences between YOLOv9 and YOLOv8. Compare architecture, performance, and use cases to find the best model for your tasks." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov9-vs-yolov8" property="twitter:url"/><meta content="YOLOv9 vs YOLOv8: A Technical Comparison" property="twitter:title"/><meta content="Explore the key differences between YOLOv9 and YOLOv8. Compare architecture, performance, and use cases to find the best model for your tasks." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOv9 vs YOLOv8: A Technical Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore the key differences between YOLOv9 and YOLOv8. Compare architecture, performance, and use cases to find the best model for your tasks."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolov9-vs-yolox/index.html b/compare/yolov9-vs-yolox/index.html
index 3a9fe5084..6ce0d4e2a 100644
--- a/compare/yolov9-vs-yolox/index.html
+++ b/compare/yolov9-vs-yolox/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="Model Comparison: YOLOv9 vs YOLOX for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv9, YOLOX, object detection, model comparison, computer vision, real-time detection, accuracy, performance metrics, AI models" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov9-vs-yolox" property="og:url"/><meta content="Model Comparison: YOLOv9 vs YOLOX for Object Detection" property="og:title"/><meta content="Compare YOLOv9 and YOLOX models for object detection. Explore performance, architecture, strengths, and ideal use cases to select the best solution." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov9-vs-yolox" property="twitter:url"/><meta content="Model Comparison: YOLOv9 vs YOLOX for Object Detection" property="twitter:title"/><meta content="Compare YOLOv9 and YOLOX models for object detection. Explore performance, architecture, strengths, and ideal use cases to select the best solution." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "Model Comparison: YOLOv9 vs YOLOX for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOv9 and YOLOX models for object detection. Explore performance, architecture, strengths, and ideal use cases to select the best solution."}</script></head>
+<meta content="Model Comparison: YOLOv9 vs YOLOX for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOv9, YOLOX, object detection, model comparison, computer vision, real-time detection, accuracy, performance metrics, AI models" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolov9-vs-yolox" property="og:url"/><meta content="Model Comparison: YOLOv9 vs YOLOX for Object Detection" property="og:title"/><meta content="Compare YOLOv9 and YOLOX models for object detection. Explore performance, architecture, strengths, and ideal use cases to select the best solution." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolov9-vs-yolox" property="twitter:url"/><meta content="Model Comparison: YOLOv9 vs YOLOX for Object Detection" property="twitter:title"/><meta content="Compare YOLOv9 and YOLOX models for object detection. Explore performance, architecture, strengths, and ideal use cases to select the best solution." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "Model Comparison: YOLOv9 vs YOLOX for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOv9 and YOLOX models for object detection. Explore performance, architecture, strengths, and ideal use cases to select the best solution."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolox-vs-damo-yolo/index.html b/compare/yolox-vs-damo-yolo/index.html
index 5d863d328..71d47c5ba 100644
--- a/compare/yolox-vs-damo-yolo/index.html
+++ b/compare/yolox-vs-damo-yolo/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLOX vs. DAMO-YOLO: A Detailed Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOX, DAMO-YOLO, object detection, model comparison, machine learning, computer vision, neural networks, performance metrics, AI tools" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolox-vs-damo-yolo" property="og:url"/><meta content="YOLOX vs. DAMO-YOLO: A Detailed Comparison" property="og:title"/><meta content="Compare YOLOX and DAMO-YOLO object detection models. Explore architecture, performance, and use cases to find the best fit for your ML projects." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolox-vs-damo-yolo" property="twitter:url"/><meta content="YOLOX vs. DAMO-YOLO: A Detailed Comparison" property="twitter:title"/><meta content="Compare YOLOX and DAMO-YOLO object detection models. Explore architecture, performance, and use cases to find the best fit for your ML projects." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOX vs. DAMO-YOLO: A Detailed Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOX and DAMO-YOLO object detection models. Explore architecture, performance, and use cases to find the best fit for your ML projects."}</script></head>
+<meta content="YOLOX vs. DAMO-YOLO: A Detailed Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOX, DAMO-YOLO, object detection, model comparison, machine learning, computer vision, neural networks, performance metrics, AI tools" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolox-vs-damo-yolo" property="og:url"/><meta content="YOLOX vs. DAMO-YOLO: A Detailed Comparison" property="og:title"/><meta content="Compare YOLOX and DAMO-YOLO object detection models. Explore architecture, performance, and use cases to find the best fit for your ML projects." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolox-vs-damo-yolo" property="twitter:url"/><meta content="YOLOX vs. DAMO-YOLO: A Detailed Comparison" property="twitter:title"/><meta content="Compare YOLOX and DAMO-YOLO object detection models. Explore architecture, performance, and use cases to find the best fit for your ML projects." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOX vs. DAMO-YOLO: A Detailed Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOX and DAMO-YOLO object detection models. Explore architecture, performance, and use cases to find the best fit for your ML projects."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolox-vs-efficientdet/index.html b/compare/yolox-vs-efficientdet/index.html
index 580f395af..3256c7bb1 100644
--- a/compare/yolox-vs-efficientdet/index.html
+++ b/compare/yolox-vs-efficientdet/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLOX vs EfficientDet: A Technical Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOX,EfficientDet,object detection,model comparison,computer vision,AI models,real-time detection,high-accuracy detection,YOLO,EfficientDet features,anchor-free detection" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolox-vs-efficientdet" property="og:url"/><meta content="YOLOX vs EfficientDet: A Technical Comparison for Object Detection" property="og:title"/><meta content="Discover the differences between YOLOX and EfficientDet. Compare speed, accuracy, and use cases to select the best object detection model for your project." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolox-vs-efficientdet" property="twitter:url"/><meta content="YOLOX vs EfficientDet: A Technical Comparison for Object Detection" property="twitter:title"/><meta content="Discover the differences between YOLOX and EfficientDet. Compare speed, accuracy, and use cases to select the best object detection model for your project." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOX vs EfficientDet: A Technical Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Discover the differences between YOLOX and EfficientDet. Compare speed, accuracy, and use cases to select the best object detection model for your project."}</script></head>
+<meta content="YOLOX vs EfficientDet: A Technical Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOX,EfficientDet,object detection,model comparison,computer vision,AI models,real-time detection,high-accuracy detection,YOLO,EfficientDet features,anchor-free detection" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolox-vs-efficientdet" property="og:url"/><meta content="YOLOX vs EfficientDet: A Technical Comparison for Object Detection" property="og:title"/><meta content="Discover the differences between YOLOX and EfficientDet. Compare speed, accuracy, and use cases to select the best object detection model for your project." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolox-vs-efficientdet" property="twitter:url"/><meta content="YOLOX vs EfficientDet: A Technical Comparison for Object Detection" property="twitter:title"/><meta content="Discover the differences between YOLOX and EfficientDet. Compare speed, accuracy, and use cases to select the best object detection model for your project." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOX vs EfficientDet: A Technical Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Discover the differences between YOLOX and EfficientDet. Compare speed, accuracy, and use cases to select the best object detection model for your project."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolox-vs-pp-yoloe/index.html b/compare/yolox-vs-pp-yoloe/index.html
index a175c9503..343a811ef 100644
--- a/compare/yolox-vs-pp-yoloe/index.html
+++ b/compare/yolox-vs-pp-yoloe/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLOX vs PP-YOLOE+: A Technical Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOX,PP-YOLOE+,object detection,model comparison,computer vision,YOLOX vs PP-YOLOE+,machine learning,deep learning,real-time detection" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolox-vs-pp-yoloe" property="og:url"/><meta content="YOLOX vs PP-YOLOE+: A Technical Comparison for Object Detection" property="og:title"/><meta content="Compare YOLOX and PP-YOLOE+ for object detection. Explore architectures, performance metrics, and use cases to choose the best model for your needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolox-vs-pp-yoloe" property="twitter:url"/><meta content="YOLOX vs PP-YOLOE+: A Technical Comparison for Object Detection" property="twitter:title"/><meta content="Compare YOLOX and PP-YOLOE+ for object detection. Explore architectures, performance metrics, and use cases to choose the best model for your needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOX vs PP-YOLOE+: A Technical Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOX and PP-YOLOE+ for object detection. Explore architectures, performance metrics, and use cases to choose the best model for your needs."}</script></head>
+<meta content="YOLOX vs PP-YOLOE+: A Technical Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOX,PP-YOLOE+,object detection,model comparison,computer vision,YOLOX vs PP-YOLOE+,machine learning,deep learning,real-time detection" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolox-vs-pp-yoloe" property="og:url"/><meta content="YOLOX vs PP-YOLOE+: A Technical Comparison for Object Detection" property="og:title"/><meta content="Compare YOLOX and PP-YOLOE+ for object detection. Explore architectures, performance metrics, and use cases to choose the best model for your needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolox-vs-pp-yoloe" property="twitter:url"/><meta content="YOLOX vs PP-YOLOE+: A Technical Comparison for Object Detection" property="twitter:title"/><meta content="Compare YOLOX and PP-YOLOE+ for object detection. Explore architectures, performance metrics, and use cases to choose the best model for your needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOX vs PP-YOLOE+: A Technical Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOX and PP-YOLOE+ for object detection. Explore architectures, performance metrics, and use cases to choose the best model for your needs."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolox-vs-rtdetr/index.html b/compare/yolox-vs-rtdetr/index.html
index 04887e430..080579e98 100644
--- a/compare/yolox-vs-rtdetr/index.html
+++ b/compare/yolox-vs-rtdetr/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLOX vs RTDETRv2: A Technical Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOX, RTDETRv2, object detection, computer vision, anchor-free, transformer, real-time detection, YOLO models, Ultralytics comparison" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolox-vs-rtdetr" property="og:url"/><meta content="YOLOX vs RTDETRv2: A Technical Comparison for Object Detection" property="og:title"/><meta content="Explore a detailed comparison of YOLOX and RTDETRv2 object detection models, covering architecture, performance, and best use cases for computer vision tasks." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolox-vs-rtdetr" property="twitter:url"/><meta content="YOLOX vs RTDETRv2: A Technical Comparison for Object Detection" property="twitter:title"/><meta content="Explore a detailed comparison of YOLOX and RTDETRv2 object detection models, covering architecture, performance, and best use cases for computer vision tasks." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOX vs RTDETRv2: A Technical Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore a detailed comparison of YOLOX and RTDETRv2 object detection models, covering architecture, performance, and best use cases for computer vision tasks."}</script></head>
+<meta content="YOLOX vs RTDETRv2: A Technical Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOX, RTDETRv2, object detection, computer vision, anchor-free, transformer, real-time detection, YOLO models, Ultralytics comparison" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolox-vs-rtdetr" property="og:url"/><meta content="YOLOX vs RTDETRv2: A Technical Comparison for Object Detection" property="og:title"/><meta content="Explore a detailed comparison of YOLOX and RTDETRv2 object detection models, covering architecture, performance, and best use cases for computer vision tasks." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolox-vs-rtdetr" property="twitter:url"/><meta content="YOLOX vs RTDETRv2: A Technical Comparison for Object Detection" property="twitter:title"/><meta content="Explore a detailed comparison of YOLOX and RTDETRv2 object detection models, covering architecture, performance, and best use cases for computer vision tasks." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOX vs RTDETRv2: A Technical Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore a detailed comparison of YOLOX and RTDETRv2 object detection models, covering architecture, performance, and best use cases for computer vision tasks."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolox-vs-yolo11/index.html b/compare/yolox-vs-yolo11/index.html
index c8dbe4a10..96f1a2cf5 100644
--- a/compare/yolox-vs-yolo11/index.html
+++ b/compare/yolox-vs-yolo11/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLOX vs YOLO11: A Detailed Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOX, YOLO11, object detection, YOLO models, Ultralytics, model comparison, real-time detection, anchor-free, efficient models, computer vision" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolox-vs-yolo11" property="og:url"/><meta content="YOLOX vs YOLO11: A Detailed Comparison for Object Detection" property="og:title"/><meta content="Compare YOLOX and YOLO11 for object detection. Explore architectural differences, performance metrics, and use cases to choose the right model." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolox-vs-yolo11" property="twitter:url"/><meta content="YOLOX vs YOLO11: A Detailed Comparison for Object Detection" property="twitter:title"/><meta content="Compare YOLOX and YOLO11 for object detection. Explore architectural differences, performance metrics, and use cases to choose the right model." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOX vs YOLO11: A Detailed Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOX and YOLO11 for object detection. Explore architectural differences, performance metrics, and use cases to choose the right model."}</script></head>
+<meta content="YOLOX vs YOLO11: A Detailed Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOX, YOLO11, object detection, YOLO models, Ultralytics, model comparison, real-time detection, anchor-free, efficient models, computer vision" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolox-vs-yolo11" property="og:url"/><meta content="YOLOX vs YOLO11: A Detailed Comparison for Object Detection" property="og:title"/><meta content="Compare YOLOX and YOLO11 for object detection. Explore architectural differences, performance metrics, and use cases to choose the right model." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolox-vs-yolo11" property="twitter:url"/><meta content="YOLOX vs YOLO11: A Detailed Comparison for Object Detection" property="twitter:title"/><meta content="Compare YOLOX and YOLO11 for object detection. Explore architectural differences, performance metrics, and use cases to choose the right model." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOX vs YOLO11: A Detailed Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOX and YOLO11 for object detection. Explore architectural differences, performance metrics, and use cases to choose the right model."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolox-vs-yolov10/index.html b/compare/yolox-vs-yolov10/index.html
index 0185cf4b1..d1947ab87 100644
--- a/compare/yolox-vs-yolov10/index.html
+++ b/compare/yolox-vs-yolov10/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLOX vs YOLOv10: A Technical Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOX, YOLOv10, object detection, model comparison, computer vision, real-time detection, edge AI, deep learning, AI models, Ultralytics" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolox-vs-yolov10" property="og:url"/><meta content="YOLOX vs YOLOv10: A Technical Comparison for Object Detection" property="og:title"/><meta content="Compare YOLOX and YOLOv10 models for object detection. Explore architecture, performance, and use cases to pick the best for your project." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolox-vs-yolov10" property="twitter:url"/><meta content="YOLOX vs YOLOv10: A Technical Comparison for Object Detection" property="twitter:title"/><meta content="Compare YOLOX and YOLOv10 models for object detection. Explore architecture, performance, and use cases to pick the best for your project." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOX vs YOLOv10: A Technical Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOX and YOLOv10 models for object detection. Explore architecture, performance, and use cases to pick the best for your project."}</script></head>
+<meta content="YOLOX vs YOLOv10: A Technical Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOX, YOLOv10, object detection, model comparison, computer vision, real-time detection, edge AI, deep learning, AI models, Ultralytics" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolox-vs-yolov10" property="og:url"/><meta content="YOLOX vs YOLOv10: A Technical Comparison for Object Detection" property="og:title"/><meta content="Compare YOLOX and YOLOv10 models for object detection. Explore architecture, performance, and use cases to pick the best for your project." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolox-vs-yolov10" property="twitter:url"/><meta content="YOLOX vs YOLOv10: A Technical Comparison for Object Detection" property="twitter:title"/><meta content="Compare YOLOX and YOLOv10 models for object detection. Explore architecture, performance, and use cases to pick the best for your project." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOX vs YOLOv10: A Technical Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOX and YOLOv10 models for object detection. Explore architecture, performance, and use cases to pick the best for your project."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolox-vs-yolov5/index.html b/compare/yolox-vs-yolov5/index.html
index db76d4543..de0b0b81a 100644
--- a/compare/yolox-vs-yolov5/index.html
+++ b/compare/yolox-vs-yolov5/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLOX vs YOLOv5: A Detailed Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOX, YOLOv5, object detection, model comparison, Ultralytics, anchor-free, real-time detection, computer vision, benchmarks, performance" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolox-vs-yolov5" property="og:url"/><meta content="YOLOX vs YOLOv5: A Detailed Comparison for Object Detection" property="og:title"/><meta content="Compare YOLOX and YOLOv5 for object detection. Explore architecture, performance benchmarks, strengths, and ideal use cases to select the best model." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolox-vs-yolov5" property="twitter:url"/><meta content="YOLOX vs YOLOv5: A Detailed Comparison for Object Detection" property="twitter:title"/><meta content="Compare YOLOX and YOLOv5 for object detection. Explore architecture, performance benchmarks, strengths, and ideal use cases to select the best model." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOX vs YOLOv5: A Detailed Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOX and YOLOv5 for object detection. Explore architecture, performance benchmarks, strengths, and ideal use cases to select the best model."}</script></head>
+<meta content="YOLOX vs YOLOv5: A Detailed Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOX, YOLOv5, object detection, model comparison, Ultralytics, anchor-free, real-time detection, computer vision, benchmarks, performance" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolox-vs-yolov5" property="og:url"/><meta content="YOLOX vs YOLOv5: A Detailed Comparison for Object Detection" property="og:title"/><meta content="Compare YOLOX and YOLOv5 for object detection. Explore architecture, performance benchmarks, strengths, and ideal use cases to select the best model." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolox-vs-yolov5" property="twitter:url"/><meta content="YOLOX vs YOLOv5: A Detailed Comparison for Object Detection" property="twitter:title"/><meta content="Compare YOLOX and YOLOv5 for object detection. Explore architecture, performance benchmarks, strengths, and ideal use cases to select the best model." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOX vs YOLOv5: A Detailed Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOX and YOLOv5 for object detection. Explore architecture, performance benchmarks, strengths, and ideal use cases to select the best model."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolox-vs-yolov6/index.html b/compare/yolox-vs-yolov6/index.html
index 65f9ba4d1..c02fb0cfd 100644
--- a/compare/yolox-vs-yolov6/index.html
+++ b/compare/yolox-vs-yolov6/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLOX vs YOLOv6-3.0: A Detailed Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOX, YOLOv6-3.0, object detection, model comparison, computer vision, accuracy, speed, AI models, real-time detection, edge deployment" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolox-vs-yolov6" property="og:url"/><meta content="YOLOX vs YOLOv6-3.0: A Detailed Comparison for Object Detection" property="og:title"/><meta content="Compare YOLOX and YOLOv6-3.0 for object detection. Explore accuracy, speed, and applications to find the best fit for your computer vision project." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolox-vs-yolov6" property="twitter:url"/><meta content="YOLOX vs YOLOv6-3.0: A Detailed Comparison for Object Detection" property="twitter:title"/><meta content="Compare YOLOX and YOLOv6-3.0 for object detection. Explore accuracy, speed, and applications to find the best fit for your computer vision project." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOX vs YOLOv6-3.0: A Detailed Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOX and YOLOv6-3.0 for object detection. Explore accuracy, speed, and applications to find the best fit for your computer vision project."}</script></head>
+<meta content="YOLOX vs YOLOv6-3.0: A Detailed Comparison for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOX, YOLOv6-3.0, object detection, model comparison, computer vision, accuracy, speed, AI models, real-time detection, edge deployment" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolox-vs-yolov6" property="og:url"/><meta content="YOLOX vs YOLOv6-3.0: A Detailed Comparison for Object Detection" property="og:title"/><meta content="Compare YOLOX and YOLOv6-3.0 for object detection. Explore accuracy, speed, and applications to find the best fit for your computer vision project." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolox-vs-yolov6" property="twitter:url"/><meta content="YOLOX vs YOLOv6-3.0: A Detailed Comparison for Object Detection" property="twitter:title"/><meta content="Compare YOLOX and YOLOv6-3.0 for object detection. Explore accuracy, speed, and applications to find the best fit for your computer vision project." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOX vs YOLOv6-3.0: A Detailed Comparison for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Compare YOLOX and YOLOv6-3.0 for object detection. Explore accuracy, speed, and applications to find the best fit for your computer vision project."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolox-vs-yolov7/index.html b/compare/yolox-vs-yolov7/index.html
index 13d16bf37..2aeba6d24 100644
--- a/compare/yolox-vs-yolov7/index.html
+++ b/compare/yolox-vs-yolov7/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLOX vs YOLOv7: A Detailed Technical Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOX, YOLOv7, object detection, model comparison, YOLO models, anchor-free YOLOX, real-time YOLOv7, machine learning, computer vision, model benchmarking" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolox-vs-yolov7" property="og:url"/><meta content="YOLOX vs YOLOv7: A Detailed Technical Comparison" property="og:title"/><meta content="Discover the technical comparison between YOLOX and YOLOv7, exploring their architectures, performance benchmarks, and best use cases in object detection." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolox-vs-yolov7" property="twitter:url"/><meta content="YOLOX vs YOLOv7: A Detailed Technical Comparison" property="twitter:title"/><meta content="Discover the technical comparison between YOLOX and YOLOv7, exploring their architectures, performance benchmarks, and best use cases in object detection." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOX vs YOLOv7: A Detailed Technical Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Discover the technical comparison between YOLOX and YOLOv7, exploring their architectures, performance benchmarks, and best use cases in object detection."}</script></head>
+<meta content="YOLOX vs YOLOv7: A Detailed Technical Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOX, YOLOv7, object detection, model comparison, YOLO models, anchor-free YOLOX, real-time YOLOv7, machine learning, computer vision, model benchmarking" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolox-vs-yolov7" property="og:url"/><meta content="YOLOX vs YOLOv7: A Detailed Technical Comparison" property="og:title"/><meta content="Discover the technical comparison between YOLOX and YOLOv7, exploring their architectures, performance benchmarks, and best use cases in object detection." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolox-vs-yolov7" property="twitter:url"/><meta content="YOLOX vs YOLOv7: A Detailed Technical Comparison" property="twitter:title"/><meta content="Discover the technical comparison between YOLOX and YOLOv7, exploring their architectures, performance benchmarks, and best use cases in object detection." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOX vs YOLOv7: A Detailed Technical Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Discover the technical comparison between YOLOX and YOLOv7, exploring their architectures, performance benchmarks, and best use cases in object detection."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolox-vs-yolov8/index.html b/compare/yolox-vs-yolov8/index.html
index 4e3d380af..c90e9910f 100644
--- a/compare/yolox-vs-yolov8/index.html
+++ b/compare/yolox-vs-yolov8/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="Model Comparison: YOLOX vs YOLOv8 for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOX, YOLOv8, object detection, model comparison, YOLO, computer vision, AI, machine learning, Ultralytics, YOLO models, performance metrics" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolox-vs-yolov8" property="og:url"/><meta content="Model Comparison: YOLOX vs YOLOv8 for Object Detection" property="og:title"/><meta content="Explore a detailed comparison of YOLOX and YOLOv8 models. Learn differences in architecture, performance, and applications for diverse computer vision tasks." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolox-vs-yolov8" property="twitter:url"/><meta content="Model Comparison: YOLOX vs YOLOv8 for Object Detection" property="twitter:title"/><meta content="Explore a detailed comparison of YOLOX and YOLOv8 models. Learn differences in architecture, performance, and applications for diverse computer vision tasks." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "Model Comparison: YOLOX vs YOLOv8 for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore a detailed comparison of YOLOX and YOLOv8 models. Learn differences in architecture, performance, and applications for diverse computer vision tasks."}</script></head>
+<meta content="Model Comparison: YOLOX vs YOLOv8 for Object Detection" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOX, YOLOv8, object detection, model comparison, YOLO, computer vision, AI, machine learning, Ultralytics, YOLO models, performance metrics" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolox-vs-yolov8" property="og:url"/><meta content="Model Comparison: YOLOX vs YOLOv8 for Object Detection" property="og:title"/><meta content="Explore a detailed comparison of YOLOX and YOLOv8 models. Learn differences in architecture, performance, and applications for diverse computer vision tasks." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolox-vs-yolov8" property="twitter:url"/><meta content="Model Comparison: YOLOX vs YOLOv8 for Object Detection" property="twitter:title"/><meta content="Explore a detailed comparison of YOLOX and YOLOv8 models. Learn differences in architecture, performance, and applications for diverse computer vision tasks." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "Model Comparison: YOLOX vs YOLOv8 for Object Detection", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore a detailed comparison of YOLOX and YOLOv8 models. Learn differences in architecture, performance, and applications for diverse computer vision tasks."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/compare/yolox-vs-yolov9/index.html b/compare/yolox-vs-yolov9/index.html
index 4ebbe12e4..30c1cf616 100644
--- a/compare/yolox-vs-yolov9/index.html
+++ b/compare/yolox-vs-yolov9/index.html
@@ -20,7 +20,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="YOLOX vs YOLOv9: A Detailed Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOX, YOLOv9, object detection comparison, AI models, Ultralytics, machine learning, computer vision, deep learning, model benchmarks" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolox-vs-yolov9" property="og:url"/><meta content="YOLOX vs YOLOv9: A Detailed Comparison" property="og:title"/><meta content="Dive into the YOLOX vs YOLOv9 comparison. Explore benchmarks, architecture, and use cases to select the best object detection model for your needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolox-vs-yolov9" property="twitter:url"/><meta content="YOLOX vs YOLOv9: A Detailed Comparison" property="twitter:title"/><meta content="Dive into the YOLOX vs YOLOv9 comparison. Explore benchmarks, architecture, and use cases to select the best object detection model for your needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOX vs YOLOv9: A Detailed Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Dive into the YOLOX vs YOLOv9 comparison. Explore benchmarks, architecture, and use cases to select the best object detection model for your needs."}</script></head>
+<meta content="YOLOX vs YOLOv9: A Detailed Comparison" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="YOLOX, YOLOv9, object detection comparison, AI models, Ultralytics, machine learning, computer vision, deep learning, model benchmarks" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/compare/yolox-vs-yolov9" property="og:url"/><meta content="YOLOX vs YOLOv9: A Detailed Comparison" property="og:title"/><meta content="Dive into the YOLOX vs YOLOv9 comparison. Explore benchmarks, architecture, and use cases to select the best object detection model for your needs." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/compare/yolox-vs-yolov9" property="twitter:url"/><meta content="YOLOX vs YOLOv9: A Detailed Comparison" property="twitter:title"/><meta content="Dive into the YOLOX vs YOLOv9 comparison. Explore benchmarks, architecture, and use cases to select the best object detection model for your needs." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "YOLOX vs YOLOv9: A Detailed Comparison", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Dive into the YOLOX vs YOLOv9 comparison. Explore benchmarks, architecture, and use cases to select the best object detection model for your needs."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/datasets/detect/index.html b/datasets/detect/index.html
index d5a7a41fe..05bd68433 100644
--- a/datasets/detect/index.html
+++ b/datasets/detect/index.html
@@ -22,7 +22,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="Object Detection Datasets Overview" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="Ultralytics, YOLO, object detection datasets, dataset formats, COCO, dataset conversion, training datasets" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/datasets/detect" property="og:url"/><meta content="Object Detection Datasets Overview" property="og:title"/><meta content="Learn about dataset formats compatible with Ultralytics YOLO for robust object detection. Explore supported datasets and learn how to convert formats." property="og:description"/><meta content="https://github.com/ultralytics/docs/releases/download/0/two-persons-tie.avif" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/datasets/detect" property="twitter:url"/><meta content="Object Detection Datasets Overview" property="twitter:title"/><meta content="Learn about dataset formats compatible with Ultralytics YOLO for robust object detection. Explore supported datasets and learn how to convert formats." property="twitter:description"/><meta content="https://github.com/ultralytics/docs/releases/download/0/two-persons-tie.avif" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": ["Article", "FAQPage"], "headline": "Object Detection Datasets Overview", "image": ["https://github.com/ultralytics/docs/releases/download/0/two-persons-tie.avif"], "datePublished": "2023-11-12 02:49:37 +0100", "dateModified": "2024-12-26 18:24:53 +0500", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Learn about dataset formats compatible with Ultralytics YOLO for robust object detection. Explore supported datasets and learn how to convert formats.", "mainEntity": [{"@type": "Question", "name": "What is the Ultralytics YOLO dataset format and how to structure it?", "acceptedAnswer": {"@type": "Answer", "text": "The Ultralytics YOLO format is a structured configuration for defining datasets in your training projects. It involves setting paths to your training, validation, and testing images and corresponding labels. For example: Labels are saved in *.txt files with one file per image, formatted as class x_center y_center width height with normalized coordinates. For a detailed guide, see the COCO8 dataset example."}}, {"@type": "Question", "name": "How do I convert a COCO dataset to the YOLO format?", "acceptedAnswer": {"@type": "Answer", "text": "You can convert a COCO dataset to the YOLO format using the Ultralytics conversion tools. Here's a quick method: This code will convert your COCO annotations to YOLO format, enabling seamless integration with Ultralytics YOLO models. For additional details, visit the Port or Convert Label Formats section."}}, {"@type": "Question", "name": "Which datasets are supported by Ultralytics YOLO for object detection?", "acceptedAnswer": {"@type": "Answer", "text": "Ultralytics YOLO supports a wide range of datasets, including: Each dataset page provides detailed information on the structure and usage tailored for efficient YOLO11 training. Explore the full list in the Supported Datasets section."}}, {"@type": "Question", "name": "How do I start training a YOLO11 model using my dataset?", "acceptedAnswer": {"@type": "Answer", "text": "To start training a YOLO11 model, ensure your dataset is formatted correctly and the paths are defined in a YAML file. Use the following script to begin training: Refer to the Usage section for more details on utilizing different modes, including CLI commands."}}, {"@type": "Question", "name": "Where can I find practical examples of using Ultralytics YOLO for object detection?", "acceptedAnswer": {"@type": "Answer", "text": "Ultralytics provides numerous examples and practical guides for using YOLO11 in diverse applications. For a comprehensive overview, visit the Ultralytics Blog where you can find case studies, detailed tutorials, and community stories showcasing object detection, segmentation, and more with YOLO11. For specific examples, check the Usage section in the documentation."}}]}</script></head>
+<meta content="Object Detection Datasets Overview" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="Ultralytics, YOLO, object detection datasets, dataset formats, COCO, dataset conversion, training datasets" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/datasets/detect" property="og:url"/><meta content="Object Detection Datasets Overview" property="og:title"/><meta content="Learn about dataset formats compatible with Ultralytics YOLO for robust object detection. Explore supported datasets and learn how to convert formats." property="og:description"/><meta content="https://github.com/ultralytics/docs/releases/download/0/two-persons-tie.avif" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/datasets/detect" property="twitter:url"/><meta content="Object Detection Datasets Overview" property="twitter:title"/><meta content="Learn about dataset formats compatible with Ultralytics YOLO for robust object detection. Explore supported datasets and learn how to convert formats." property="twitter:description"/><meta content="https://github.com/ultralytics/docs/releases/download/0/two-persons-tie.avif" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": ["Article", "FAQPage"], "headline": "Object Detection Datasets Overview", "image": ["https://github.com/ultralytics/docs/releases/download/0/two-persons-tie.avif"], "datePublished": "2023-11-12 02:49:37 +0100", "dateModified": "2025-01-31 20:50:11 +0800", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Learn about dataset formats compatible with Ultralytics YOLO for robust object detection. Explore supported datasets and learn how to convert formats.", "mainEntity": [{"@type": "Question", "name": "What is the Ultralytics YOLO dataset format and how to structure it?", "acceptedAnswer": {"@type": "Answer", "text": "The Ultralytics YOLO format is a structured configuration for defining datasets in your training projects. It involves setting paths to your training, validation, and testing images and corresponding labels. For example: Labels are saved in *.txt files with one file per image, formatted as class x_center y_center width height with normalized coordinates. For a detailed guide, see the COCO8 dataset example."}}, {"@type": "Question", "name": "How do I convert a COCO dataset to the YOLO format?", "acceptedAnswer": {"@type": "Answer", "text": "You can convert a COCO dataset to the YOLO format using the Ultralytics conversion tools. Here's a quick method: This code will convert your COCO annotations to YOLO format, enabling seamless integration with Ultralytics YOLO models. For additional details, visit the Port or Convert Label Formats section."}}, {"@type": "Question", "name": "Which datasets are supported by Ultralytics YOLO for object detection?", "acceptedAnswer": {"@type": "Answer", "text": "Ultralytics YOLO supports a wide range of datasets, including: Each dataset page provides detailed information on the structure and usage tailored for efficient YOLO11 training. Explore the full list in the Supported Datasets section."}}, {"@type": "Question", "name": "How do I start training a YOLO11 model using my dataset?", "acceptedAnswer": {"@type": "Answer", "text": "To start training a YOLO11 model, ensure your dataset is formatted correctly and the paths are defined in a YAML file. Use the following script to begin training: Refer to the Usage section for more details on utilizing different modes, including CLI commands."}}, {"@type": "Question", "name": "Where can I find practical examples of using Ultralytics YOLO for object detection?", "acceptedAnswer": {"@type": "Answer", "text": "Ultralytics provides numerous examples and practical guides for using YOLO11 in diverse applications. For a comprehensive overview, visit the Ultralytics Blog where you can find case studies, detailed tutorials, and community stories showcasing object detection, segmentation, and more with YOLO11. For specific examples, check the Usage section in the documentation."}}]}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
@@ -832,7 +832,7 @@ <h2 id="supported-dataset-formats">Supported Dataset Formats</h2>
 <h3 id="ultralytics-yolo-format">Ultralytics YOLO format</h3>
 <p>The Ultralytics YOLO format is a dataset configuration format that allows you to define the dataset root directory, the relative paths to training/validation/testing image directories or <code>*.txt</code> files containing image paths, and a dictionary of class names. Here is an example:</p>
 <div class="highlight"><pre><span></span><code><a href="#__codelineno-0-1" id="__codelineno-0-1" name="__codelineno-0-1"></a><span class="c1"># Train/val/test sets as 1) dir: path/to/imgs, 2) file: path/to/imgs.txt, or 3) list: [path/to/imgs1, path/to/imgs2, ..]</span>
-<a href="#__codelineno-0-2" id="__codelineno-0-2" name="__codelineno-0-2"></a><span class="nt">path</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">../datasets/coco8</span><span class="w"> </span><span class="c1"># dataset root dir</span>
+<a href="#__codelineno-0-2" id="__codelineno-0-2" name="__codelineno-0-2"></a><span class="nt">path</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">../datasets/coco8</span><span class="w"> </span><span class="c1"># dataset root dir (absolute or relative; if relative, it's relative to default datasets_dir)</span>
 <a href="#__codelineno-0-3" id="__codelineno-0-3" name="__codelineno-0-3"></a><span class="nt">train</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">images/train</span><span class="w"> </span><span class="c1"># train images (relative to 'path') 4 images</span>
 <a href="#__codelineno-0-4" id="__codelineno-0-4" name="__codelineno-0-4"></a><span class="nt">val</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">images/val</span><span class="w"> </span><span class="c1"># val images (relative to 'path') 4 images</span>
 <a href="#__codelineno-0-5" id="__codelineno-0-5" name="__codelineno-0-5"></a><span class="nt">test</span><span class="p">:</span><span class="w"> </span><span class="c1"># test images (optional)</span>
@@ -979,11 +979,14 @@ <h3 id="where-can-i-find-practical-examples-of-using-ultralytics-yolo-for-object
 <span class="date-item" title="This page was first created on November 12, 2023">
 <span class="hover-item">📅</span> Created 1 year ago
     </span>
-<span class="date-item" title="This page was last updated on December 26, 2024">
-<span class="hover-item">✏️</span> Updated 1 month ago
+<span class="date-item" title="This page was last updated on January 31, 2025">
+<span class="hover-item">✏️</span> Updated 0 days ago
     </span>
 </div>
 <div class="authors-container">
+<a class="author-link" href="https://github.com/Y-T-G" title="Y-T-G (1 change)">
+<img alt="Y-T-G" class="hover-item" loading="lazy" src="https://avatars.githubusercontent.com/u/32206511?v=4&amp;s=96"/>
+</a>
 <a class="author-link" href="https://github.com/RizwanMunawar" title="RizwanMunawar (4 changes)">
 <img alt="RizwanMunawar" class="hover-item" loading="lazy" src="https://avatars.githubusercontent.com/u/62513924?v=4&amp;s=96"/>
 </a>
diff --git a/datasets/index.html b/datasets/index.html
index a556e101a..2134b60f7 100644
--- a/datasets/index.html
+++ b/datasets/index.html
@@ -1060,7 +1060,7 @@ <h3 id="how-can-i-optimize-and-zip-a-dataset-using-ultralytics-tools">How can I
 <span class="hover-item">📅</span> Created 1 year ago
     </span>
 <span class="date-item" title="This page was last updated on January 29, 2025">
-<span class="hover-item">✏️</span> Updated 1 day ago
+<span class="hover-item">✏️</span> Updated 2 days ago
     </span>
 </div>
 <div class="authors-container">
diff --git a/datasets/pose/index.html b/datasets/pose/index.html
index a07574479..2039d07f9 100644
--- a/datasets/pose/index.html
+++ b/datasets/pose/index.html
@@ -22,7 +22,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="Pose Estimation Datasets Overview" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="pose estimation, Ultralytics, YOLO format, COCO-Pose, COCO8-Pose, Tiger-Pose, dataset conversion, keypoints" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/datasets/pose" property="og:url"/><meta content="Pose Estimation Datasets Overview" property="og:title"/><meta content="Learn about Ultralytics YOLO format for pose estimation datasets, supported formats, COCO-Pose, COCO8-Pose, Tiger-Pose, and how to add your own dataset." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/datasets/pose" property="twitter:url"/><meta content="Pose Estimation Datasets Overview" property="twitter:title"/><meta content="Learn about Ultralytics YOLO format for pose estimation datasets, supported formats, COCO-Pose, COCO8-Pose, Tiger-Pose, and how to add your own dataset." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": ["Article", "FAQPage"], "headline": "Pose Estimation Datasets Overview", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2023-11-12 02:49:37 +0100", "dateModified": "2024-11-17 00:12:10 +0500", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Learn about Ultralytics YOLO format for pose estimation datasets, supported formats, COCO-Pose, COCO8-Pose, Tiger-Pose, and how to add your own dataset.", "mainEntity": [{"@type": "Question", "name": "What is the Ultralytics YOLO format for pose estimation?", "acceptedAnswer": {"@type": "Answer", "text": "The Ultralytics YOLO format for pose estimation datasets involves labeling each image with a corresponding text file. Each row of the text file stores information about an object instance: For 2D poses, keypoints include pixel coordinates. For 3D, each keypoint also has a visibility flag. For more details, see Ultralytics YOLO format."}}, {"@type": "Question", "name": "How do I use the COCO-Pose dataset with Ultralytics YOLO?", "acceptedAnswer": {"@type": "Answer", "text": "To use the COCO-Pose dataset with Ultralytics YOLO:"}}, {"@type": "Question", "name": "How can I add my own dataset for pose estimation in Ultralytics YOLO?", "acceptedAnswer": {"@type": "Answer", "text": "To add your dataset:"}}, {"@type": "Question", "name": "What is the purpose of the dataset YAML file in Ultralytics YOLO?", "acceptedAnswer": {"@type": "Answer", "text": "The dataset YAML file in Ultralytics YOLO defines the dataset and model configuration for training. It specifies paths to training, validation, and test images, keypoint shapes, class names, and other configuration options. This structured format helps streamline dataset management and model training. Here is an example YAML format: Read more about creating YAML configuration files in Dataset YAML format."}}, {"@type": "Question", "name": "How can I convert COCO dataset labels to Ultralytics YOLO format for pose estimation?", "acceptedAnswer": {"@type": "Answer", "text": "Ultralytics provides a conversion tool to convert COCO dataset labels to the YOLO format, including keypoint information: This tool helps seamlessly integrate COCO datasets into YOLO projects. For details, refer to the Conversion Tool section."}}]}</script></head>
+<meta content="Pose Estimation Datasets Overview" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="pose estimation, Ultralytics, YOLO format, COCO-Pose, COCO8-Pose, Tiger-Pose, dataset conversion, keypoints" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/datasets/pose" property="og:url"/><meta content="Pose Estimation Datasets Overview" property="og:title"/><meta content="Learn about Ultralytics YOLO format for pose estimation datasets, supported formats, COCO-Pose, COCO8-Pose, Tiger-Pose, and how to add your own dataset." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/datasets/pose" property="twitter:url"/><meta content="Pose Estimation Datasets Overview" property="twitter:title"/><meta content="Learn about Ultralytics YOLO format for pose estimation datasets, supported formats, COCO-Pose, COCO8-Pose, Tiger-Pose, and how to add your own dataset." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": ["Article", "FAQPage"], "headline": "Pose Estimation Datasets Overview", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2023-11-12 02:49:37 +0100", "dateModified": "2025-01-31 20:50:11 +0800", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Learn about Ultralytics YOLO format for pose estimation datasets, supported formats, COCO-Pose, COCO8-Pose, Tiger-Pose, and how to add your own dataset.", "mainEntity": [{"@type": "Question", "name": "What is the Ultralytics YOLO format for pose estimation?", "acceptedAnswer": {"@type": "Answer", "text": "The Ultralytics YOLO format for pose estimation datasets involves labeling each image with a corresponding text file. Each row of the text file stores information about an object instance: For 2D poses, keypoints include pixel coordinates. For 3D, each keypoint also has a visibility flag. For more details, see Ultralytics YOLO format."}}, {"@type": "Question", "name": "How do I use the COCO-Pose dataset with Ultralytics YOLO?", "acceptedAnswer": {"@type": "Answer", "text": "To use the COCO-Pose dataset with Ultralytics YOLO:"}}, {"@type": "Question", "name": "How can I add my own dataset for pose estimation in Ultralytics YOLO?", "acceptedAnswer": {"@type": "Answer", "text": "To add your dataset:"}}, {"@type": "Question", "name": "What is the purpose of the dataset YAML file in Ultralytics YOLO?", "acceptedAnswer": {"@type": "Answer", "text": "The dataset YAML file in Ultralytics YOLO defines the dataset and model configuration for training. It specifies paths to training, validation, and test images, keypoint shapes, class names, and other configuration options. This structured format helps streamline dataset management and model training. Here is an example YAML format: Read more about creating YAML configuration files in Dataset YAML format."}}, {"@type": "Question", "name": "How can I convert COCO dataset labels to Ultralytics YOLO format for pose estimation?", "acceptedAnswer": {"@type": "Answer", "text": "Ultralytics provides a conversion tool to convert COCO dataset labels to the YOLO format, including keypoint information: This tool helps seamlessly integrate COCO datasets into YOLO projects. For details, refer to the Conversion Tool section."}}]}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
@@ -883,7 +883,7 @@ <h3 id="ultralytics-yolo-format">Ultralytics YOLO format</h3>
 <h3 id="dataset-yaml-format">Dataset YAML format</h3>
 <p>The Ultralytics framework uses a YAML file format to define the dataset and model configuration for training Detection Models. Here is an example of the YAML format used for defining a detection dataset:</p>
 <div class="highlight"><pre><span></span><code><a href="#__codelineno-2-1" id="__codelineno-2-1" name="__codelineno-2-1"></a><span class="c1"># Train/val/test sets as 1) dir: path/to/imgs, 2) file: path/to/imgs.txt, or 3) list: [path/to/imgs1, path/to/imgs2, ..]</span>
-<a href="#__codelineno-2-2" id="__codelineno-2-2" name="__codelineno-2-2"></a><span class="nt">path</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">../datasets/coco8-pose</span><span class="w"> </span><span class="c1"># dataset root dir</span>
+<a href="#__codelineno-2-2" id="__codelineno-2-2" name="__codelineno-2-2"></a><span class="nt">path</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">../datasets/coco8-pose</span><span class="w"> </span><span class="c1"># dataset root dir (absolute or relative; if relative, it's relative to default datasets_dir)</span>
 <a href="#__codelineno-2-3" id="__codelineno-2-3" name="__codelineno-2-3"></a><span class="nt">train</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">images/train</span><span class="w"> </span><span class="c1"># train images (relative to 'path') 4 images</span>
 <a href="#__codelineno-2-4" id="__codelineno-2-4" name="__codelineno-2-4"></a><span class="nt">val</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">images/val</span><span class="w"> </span><span class="c1"># val images (relative to 'path') 4 images</span>
 <a href="#__codelineno-2-5" id="__codelineno-2-5" name="__codelineno-2-5"></a><span class="nt">test</span><span class="p">:</span><span class="w"> </span><span class="c1"># test images (optional)</span>
@@ -1050,11 +1050,14 @@ <h3 id="how-can-i-convert-coco-dataset-labels-to-ultralytics-yolo-format-for-pos
 <span class="date-item" title="This page was first created on November 12, 2023">
 <span class="hover-item">📅</span> Created 1 year ago
     </span>
-<span class="date-item" title="This page was last updated on November 17, 2024">
-<span class="hover-item">✏️</span> Updated 2 months ago
+<span class="date-item" title="This page was last updated on January 31, 2025">
+<span class="hover-item">✏️</span> Updated 0 days ago
     </span>
 </div>
 <div class="authors-container">
+<a class="author-link" href="https://github.com/Y-T-G" title="Y-T-G (1 change)">
+<img alt="Y-T-G" class="hover-item" loading="lazy" src="https://avatars.githubusercontent.com/u/32206511?v=4&amp;s=96"/>
+</a>
 <a class="author-link" href="https://github.com/RizwanMunawar" title="RizwanMunawar (2 changes)">
 <img alt="RizwanMunawar" class="hover-item" loading="lazy" src="https://avatars.githubusercontent.com/u/62513924?v=4&amp;s=96"/>
 </a>
diff --git a/datasets/segment/index.html b/datasets/segment/index.html
index 70f959b19..b1a0d590f 100644
--- a/datasets/segment/index.html
+++ b/datasets/segment/index.html
@@ -22,7 +22,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="Instance Segmentation Datasets Overview" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="Ultralytics, YOLO, instance segmentation, dataset formats, auto-annotation, COCO, segmentation models, training data" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/datasets/segment" property="og:url"/><meta content="Instance Segmentation Datasets Overview" property="og:title"/><meta content="Explore the supported dataset formats for Ultralytics YOLO and learn how to prepare and use datasets for training object segmentation models." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/datasets/segment" property="twitter:url"/><meta content="Instance Segmentation Datasets Overview" property="twitter:title"/><meta content="Explore the supported dataset formats for Ultralytics YOLO and learn how to prepare and use datasets for training object segmentation models." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": ["Article", "FAQPage"], "headline": "Instance Segmentation Datasets Overview", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2023-11-12 02:49:37 +0100", "dateModified": "2025-01-13 17:12:39 +0500", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore the supported dataset formats for Ultralytics YOLO and learn how to prepare and use datasets for training object segmentation models.", "mainEntity": [{"@type": "Question", "name": "What dataset formats does Ultralytics YOLO support for instance segmentation?", "acceptedAnswer": {"@type": "Answer", "text": "Ultralytics YOLO supports several dataset formats for instance segmentation, with the primary format being its own Ultralytics YOLO format. Each image in your dataset needs a corresponding text file with object information segmented into multiple rows (one row per object), listing the class index and normalized bounding coordinates. For more detailed instructions on the YOLO dataset format, visit the Instance Segmentation Datasets Overview."}}, {"@type": "Question", "name": "How can I convert COCO dataset annotations to the YOLO format?", "acceptedAnswer": {"@type": "Answer", "text": "Converting COCO format annotations to YOLO format is straightforward using Ultralytics tools. You can use the convert_coco function from the ultralytics.data.converter module: This script converts your COCO dataset annotations to the required YOLO format, making it suitable for training your YOLO models. For more details, refer to Port or Convert Label Formats."}}, {"@type": "Question", "name": "How do I prepare a YAML file for training Ultralytics YOLO models?", "acceptedAnswer": {"@type": "Answer", "text": "To prepare a YAML file for training YOLO models with Ultralytics, you need to define the dataset paths and class names. Here's an example YAML configuration: Ensure you update the paths and class names according to your dataset. For more information, check the Dataset YAML Format section."}}, {"@type": "Question", "name": "What is the auto-annotation feature in Ultralytics YOLO?", "acceptedAnswer": {"@type": "Answer", "text": "Auto-annotation in Ultralytics YOLO allows you to generate segmentation annotations for your dataset using a pre-trained detection model. This significantly reduces the need for manual labeling. You can use the auto_annotate function as follows: This function automates the annotation process, making it faster and more efficient. For more details, explore the Auto-Annotate Reference."}}]}</script></head>
+<meta content="Instance Segmentation Datasets Overview" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="Ultralytics, YOLO, instance segmentation, dataset formats, auto-annotation, COCO, segmentation models, training data" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/datasets/segment" property="og:url"/><meta content="Instance Segmentation Datasets Overview" property="og:title"/><meta content="Explore the supported dataset formats for Ultralytics YOLO and learn how to prepare and use datasets for training object segmentation models." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/datasets/segment" property="twitter:url"/><meta content="Instance Segmentation Datasets Overview" property="twitter:title"/><meta content="Explore the supported dataset formats for Ultralytics YOLO and learn how to prepare and use datasets for training object segmentation models." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": ["Article", "FAQPage"], "headline": "Instance Segmentation Datasets Overview", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2023-11-12 02:49:37 +0100", "dateModified": "2025-01-31 20:50:11 +0800", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore the supported dataset formats for Ultralytics YOLO and learn how to prepare and use datasets for training object segmentation models.", "mainEntity": [{"@type": "Question", "name": "What dataset formats does Ultralytics YOLO support for instance segmentation?", "acceptedAnswer": {"@type": "Answer", "text": "Ultralytics YOLO supports several dataset formats for instance segmentation, with the primary format being its own Ultralytics YOLO format. Each image in your dataset needs a corresponding text file with object information segmented into multiple rows (one row per object), listing the class index and normalized bounding coordinates. For more detailed instructions on the YOLO dataset format, visit the Instance Segmentation Datasets Overview."}}, {"@type": "Question", "name": "How can I convert COCO dataset annotations to the YOLO format?", "acceptedAnswer": {"@type": "Answer", "text": "Converting COCO format annotations to YOLO format is straightforward using Ultralytics tools. You can use the convert_coco function from the ultralytics.data.converter module: This script converts your COCO dataset annotations to the required YOLO format, making it suitable for training your YOLO models. For more details, refer to Port or Convert Label Formats."}}, {"@type": "Question", "name": "How do I prepare a YAML file for training Ultralytics YOLO models?", "acceptedAnswer": {"@type": "Answer", "text": "To prepare a YAML file for training YOLO models with Ultralytics, you need to define the dataset paths and class names. Here's an example YAML configuration: Ensure you update the paths and class names according to your dataset. For more information, check the Dataset YAML Format section."}}, {"@type": "Question", "name": "What is the auto-annotation feature in Ultralytics YOLO?", "acceptedAnswer": {"@type": "Answer", "text": "Auto-annotation in Ultralytics YOLO allows you to generate segmentation annotations for your dataset using a pre-trained detection model. This significantly reduces the need for manual labeling. You can use the auto_annotate function as follows: This function automates the annotation process, making it faster and more efficient. For more details, explore the Auto-Annotate Reference."}}]}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
@@ -882,7 +882,7 @@ <h3 id="ultralytics-yolo-format">Ultralytics YOLO format</h3>
 <h3 id="dataset-yaml-format">Dataset YAML format</h3>
 <p>The Ultralytics framework uses a YAML file format to define the dataset and model configuration for training Detection Models. Here is an example of the YAML format used for defining a detection dataset:</p>
 <div class="highlight"><pre><span></span><code><a href="#__codelineno-2-1" id="__codelineno-2-1" name="__codelineno-2-1"></a><span class="c1"># Train/val/test sets as 1) dir: path/to/imgs, 2) file: path/to/imgs.txt, or 3) list: [path/to/imgs1, path/to/imgs2, ..]</span>
-<a href="#__codelineno-2-2" id="__codelineno-2-2" name="__codelineno-2-2"></a><span class="nt">path</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">../datasets/coco8-seg</span><span class="w"> </span><span class="c1"># dataset root dir</span>
+<a href="#__codelineno-2-2" id="__codelineno-2-2" name="__codelineno-2-2"></a><span class="nt">path</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">../datasets/coco8-seg</span><span class="w"> </span><span class="c1"># dataset root dir (absolute or relative; if relative, it's relative to default datasets_dir)</span>
 <a href="#__codelineno-2-3" id="__codelineno-2-3" name="__codelineno-2-3"></a><span class="nt">train</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">images/train</span><span class="w"> </span><span class="c1"># train images (relative to 'path') 4 images</span>
 <a href="#__codelineno-2-4" id="__codelineno-2-4" name="__codelineno-2-4"></a><span class="nt">val</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">images/val</span><span class="w"> </span><span class="c1"># val images (relative to 'path') 4 images</span>
 <a href="#__codelineno-2-5" id="__codelineno-2-5" name="__codelineno-2-5"></a><span class="nt">test</span><span class="p">:</span><span class="w"> </span><span class="c1"># test images (optional)</span>
@@ -1078,11 +1078,14 @@ <h3 id="what-is-the-auto-annotation-feature-in-ultralytics-yolo">What is the aut
 <span class="date-item" title="This page was first created on November 12, 2023">
 <span class="hover-item">📅</span> Created 1 year ago
     </span>
-<span class="date-item" title="This page was last updated on January 13, 2025">
-<span class="hover-item">✏️</span> Updated 18 days ago
+<span class="date-item" title="This page was last updated on January 31, 2025">
+<span class="hover-item">✏️</span> Updated 0 days ago
     </span>
 </div>
 <div class="authors-container">
+<a class="author-link" href="https://github.com/Y-T-G" title="Y-T-G (1 change)">
+<img alt="Y-T-G" class="hover-item" loading="lazy" src="https://avatars.githubusercontent.com/u/32206511?v=4&amp;s=96"/>
+</a>
 <a class="author-link" href="https://github.com/RizwanMunawar" title="RizwanMunawar (1 change)">
 <img alt="RizwanMunawar" class="hover-item" loading="lazy" src="https://avatars.githubusercontent.com/u/62513924?v=4&amp;s=96"/>
 </a>
diff --git a/help/contributing/index.html b/help/contributing/index.html
index 2049b9da6..5a15da455 100644
--- a/help/contributing/index.html
+++ b/help/contributing/index.html
@@ -968,7 +968,7 @@ <h3 id="how-do-i-report-a-bug-in-ultralytics-yolo-repositories">How do I report
 <span class="hover-item">📅</span> Created 1 year ago
     </span>
 <span class="date-item" title="This page was last updated on January 29, 2025">
-<span class="hover-item">✏️</span> Updated 1 day ago
+<span class="hover-item">✏️</span> Updated 2 days ago
     </span>
 </div>
 <div class="authors-container">
diff --git a/hub/models/index.html b/hub/models/index.html
index 3123371a4..a84414848 100644
--- a/hub/models/index.html
+++ b/hub/models/index.html
@@ -946,7 +946,7 @@ <h2 id="delete-model">Delete Model</h2>
 <span class="hover-item">📅</span> Created 1 year ago
     </span>
 <span class="date-item" title="This page was last updated on January 03, 2025">
-<span class="hover-item">✏️</span> Updated 27 days ago
+<span class="hover-item">✏️</span> Updated 28 days ago
     </span>
 </div>
 <div class="authors-container">
diff --git a/hub/sdk/dataset/index.html b/hub/sdk/dataset/index.html
index f6954282c..36425c0cf 100644
--- a/hub/sdk/dataset/index.html
+++ b/hub/sdk/dataset/index.html
@@ -22,7 +22,7 @@
 <script>__md_scope=new URL("../../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="Dataset" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="Ultralytics, HUB-SDK, dataset management, Python, get dataset, create dataset, update dataset, delete dataset, list datasets, upload dataset, machine learning" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/hub/sdk/dataset" property="og:url"/><meta content="Dataset" property="og:title"/><meta content="Learn how to manage datasets efficiently in Python using the Ultralytics HUB-SDK. Get, create, update, delete, list, and upload datasets easily." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/hub/sdk/dataset" property="twitter:url"/><meta content="Dataset" property="twitter:title"/><meta content="Learn how to manage datasets efficiently in Python using the Ultralytics HUB-SDK. Get, create, update, delete, list, and upload datasets easily." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "Dataset", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Learn how to manage datasets efficiently in Python using the Ultralytics HUB-SDK. Get, create, update, delete, list, and upload datasets easily."}</script></head>
+<meta content="Dataset" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="Ultralytics, HUB-SDK, dataset management, Python, get dataset, create dataset, update dataset, delete dataset, list datasets, upload dataset, machine learning" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/hub/sdk/dataset" property="og:url"/><meta content="Dataset" property="og:title"/><meta content="Learn how to manage datasets efficiently in Python using the Ultralytics HUB-SDK. Get, create, update, delete, list, and upload datasets easily." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/hub/sdk/dataset" property="twitter:url"/><meta content="Dataset" property="twitter:title"/><meta content="Learn how to manage datasets efficiently in Python using the Ultralytics HUB-SDK. Get, create, update, delete, list, and upload datasets easily." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "Dataset", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Learn how to manage datasets efficiently in Python using the Ultralytics HUB-SDK. Get, create, update, delete, list, and upload datasets easily."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/hub/sdk/index.html b/hub/sdk/index.html
index 444d783a9..944ea6145 100644
--- a/hub/sdk/index.html
+++ b/hub/sdk/index.html
@@ -22,7 +22,7 @@
 <script>__md_scope=new URL("../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="Ultralytics HUB-SDK" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="Ultralytics HUB-SDK, machine learning, ML integration, Python SDK, AI tools, HUBClient, API, install HUB-SDK, Ultralytics services" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/hub/sdk" property="og:url"/><meta content="Ultralytics HUB-SDK" property="og:title"/><meta content="Discover Ultralytics HUB-SDK documentation. Learn to integrate machine learning tools and services into your Python applications. Quickstart guide, installation &amp; more!." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/hub/sdk" property="twitter:url"/><meta content="Ultralytics HUB-SDK" property="twitter:title"/><meta content="Discover Ultralytics HUB-SDK documentation. Learn to integrate machine learning tools and services into your Python applications. Quickstart guide, installation &amp; more!." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "Ultralytics HUB-SDK", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Discover Ultralytics HUB-SDK documentation. Learn to integrate machine learning tools and services into your Python applications. Quickstart guide, installation & more!."}</script></head>
+<meta content="Ultralytics HUB-SDK" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="Ultralytics HUB-SDK, machine learning, ML integration, Python SDK, AI tools, HUBClient, API, install HUB-SDK, Ultralytics services" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/hub/sdk" property="og:url"/><meta content="Ultralytics HUB-SDK" property="og:title"/><meta content="Discover Ultralytics HUB-SDK documentation. Learn to integrate machine learning tools and services into your Python applications. Quickstart guide, installation &amp; more!." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/hub/sdk" property="twitter:url"/><meta content="Ultralytics HUB-SDK" property="twitter:title"/><meta content="Discover Ultralytics HUB-SDK documentation. Learn to integrate machine learning tools and services into your Python applications. Quickstart guide, installation &amp; more!." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "Ultralytics HUB-SDK", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Discover Ultralytics HUB-SDK documentation. Learn to integrate machine learning tools and services into your Python applications. Quickstart guide, installation & more!."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/hub/sdk/model/index.html b/hub/sdk/model/index.html
index 01a25ba6f..b679407dc 100644
--- a/hub/sdk/model/index.html
+++ b/hub/sdk/model/index.html
@@ -22,7 +22,7 @@
 <script>__md_scope=new URL("../../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="Model" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="Ultralytics, HUB-SDK, model management, machine learning, create model, update model, deploy model, ML workflow" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/hub/sdk/model" property="og:url"/><meta content="Model" property="og:title"/><meta content="Explore comprehensive steps to manage, create, update, and deploy your ML models with Ultralytics HUB-SDK. Elevate your machine learning workflows." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/hub/sdk/model" property="twitter:url"/><meta content="Model" property="twitter:title"/><meta content="Explore comprehensive steps to manage, create, update, and deploy your ML models with Ultralytics HUB-SDK. Elevate your machine learning workflows." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "Model", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore comprehensive steps to manage, create, update, and deploy your ML models with Ultralytics HUB-SDK. Elevate your machine learning workflows."}</script></head>
+<meta content="Model" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="Ultralytics, HUB-SDK, model management, machine learning, create model, update model, deploy model, ML workflow" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/hub/sdk/model" property="og:url"/><meta content="Model" property="og:title"/><meta content="Explore comprehensive steps to manage, create, update, and deploy your ML models with Ultralytics HUB-SDK. Elevate your machine learning workflows." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/hub/sdk/model" property="twitter:url"/><meta content="Model" property="twitter:title"/><meta content="Explore comprehensive steps to manage, create, update, and deploy your ML models with Ultralytics HUB-SDK. Elevate your machine learning workflows." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "Model", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore comprehensive steps to manage, create, update, and deploy your ML models with Ultralytics HUB-SDK. Elevate your machine learning workflows."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/hub/sdk/project/index.html b/hub/sdk/project/index.html
index 8faff0456..cb108629c 100644
--- a/hub/sdk/project/index.html
+++ b/hub/sdk/project/index.html
@@ -22,7 +22,7 @@
 <script>__md_scope=new URL("../../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="Project" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="Ultralytics, HUB-SDK, project management, machine learning, Python, create project, update project, delete project, list projects" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/hub/sdk/project" property="og:url"/><meta content="Project" property="og:title"/><meta content="Master project management using Ultralytics HUB-SDK. Learn to create, update, delete, and list ML projects with easy Python code snippets." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/hub/sdk/project" property="twitter:url"/><meta content="Project" property="twitter:title"/><meta content="Master project management using Ultralytics HUB-SDK. Learn to create, update, delete, and list ML projects with easy Python code snippets." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "Project", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Master project management using Ultralytics HUB-SDK. Learn to create, update, delete, and list ML projects with easy Python code snippets."}</script></head>
+<meta content="Project" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="Ultralytics, HUB-SDK, project management, machine learning, Python, create project, update project, delete project, list projects" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/hub/sdk/project" property="og:url"/><meta content="Project" property="og:title"/><meta content="Master project management using Ultralytics HUB-SDK. Learn to create, update, delete, and list ML projects with easy Python code snippets." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/hub/sdk/project" property="twitter:url"/><meta content="Project" property="twitter:title"/><meta content="Master project management using Ultralytics HUB-SDK. Learn to create, update, delete, and list ML projects with easy Python code snippets." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "Project", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Master project management using Ultralytics HUB-SDK. Learn to create, update, delete, and list ML projects with easy Python code snippets."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/hub/sdk/quickstart/index.html b/hub/sdk/quickstart/index.html
index 1ae26e01e..fefea11b3 100644
--- a/hub/sdk/quickstart/index.html
+++ b/hub/sdk/quickstart/index.html
@@ -22,7 +22,7 @@
 <script>__md_scope=new URL("../../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="Quickstart" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="Ultralytics, HUB-SDK, installation, Python, setup, guide, API key, authentication, Git, PyPI" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/hub/sdk/quickstart" property="og:url"/><meta content="Quickstart" property="og:title"/><meta content="Get started with Ultralytics HUB-SDK quickly. Follow our step-by-step guide for easy installation and initialization using Python. Perfect for all skill levels!." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/hub/sdk/quickstart" property="twitter:url"/><meta content="Quickstart" property="twitter:title"/><meta content="Get started with Ultralytics HUB-SDK quickly. Follow our step-by-step guide for easy installation and initialization using Python. Perfect for all skill levels!." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "Quickstart", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Get started with Ultralytics HUB-SDK quickly. Follow our step-by-step guide for easy installation and initialization using Python. Perfect for all skill levels!."}</script></head>
+<meta content="Quickstart" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="Ultralytics, HUB-SDK, installation, Python, setup, guide, API key, authentication, Git, PyPI" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/hub/sdk/quickstart" property="og:url"/><meta content="Quickstart" property="og:title"/><meta content="Get started with Ultralytics HUB-SDK quickly. Follow our step-by-step guide for easy installation and initialization using Python. Perfect for all skill levels!." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/hub/sdk/quickstart" property="twitter:url"/><meta content="Quickstart" property="twitter:title"/><meta content="Get started with Ultralytics HUB-SDK quickly. Follow our step-by-step guide for easy installation and initialization using Python. Perfect for all skill levels!." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "Quickstart", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Get started with Ultralytics HUB-SDK quickly. Follow our step-by-step guide for easy installation and initialization using Python. Perfect for all skill levels!."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/hub/sdk/reference/base/api_client/index.html b/hub/sdk/reference/base/api_client/index.html
index 7386055dd..723c8943d 100644
--- a/hub/sdk/reference/base/api_client/index.html
+++ b/hub/sdk/reference/base/api_client/index.html
@@ -22,7 +22,7 @@
 <script>__md_scope=new URL("../../../../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="api_client" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="Ultralytics, HUB-SDK, API Client, Documentation, HTTP requests, Python SDK, API ClientError, request handling" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/hub/sdk/reference/base/api_client" property="og:url"/><meta content="api_client" property="og:title"/><meta content="Explore the Ultralytics HUB-SDK API Client for making HTTP requests effortlessly. Detailed class methods, error handling, and more." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/hub/sdk/reference/base/api_client" property="twitter:url"/><meta content="api_client" property="twitter:title"/><meta content="Explore the Ultralytics HUB-SDK API Client for making HTTP requests effortlessly. Detailed class methods, error handling, and more." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "api_client", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore the Ultralytics HUB-SDK API Client for making HTTP requests effortlessly. Detailed class methods, error handling, and more."}</script></head>
+<meta content="api_client" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="Ultralytics, HUB-SDK, API Client, Documentation, HTTP requests, Python SDK, API ClientError, request handling" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/hub/sdk/reference/base/api_client" property="og:url"/><meta content="api_client" property="og:title"/><meta content="Explore the Ultralytics HUB-SDK API Client for making HTTP requests effortlessly. Detailed class methods, error handling, and more." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/hub/sdk/reference/base/api_client" property="twitter:url"/><meta content="api_client" property="twitter:title"/><meta content="Explore the Ultralytics HUB-SDK API Client for making HTTP requests effortlessly. Detailed class methods, error handling, and more." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "api_client", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore the Ultralytics HUB-SDK API Client for making HTTP requests effortlessly. Detailed class methods, error handling, and more."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/hub/sdk/reference/base/auth/index.html b/hub/sdk/reference/base/auth/index.html
index d8d87e86a..14a2a2e06 100644
--- a/hub/sdk/reference/base/auth/index.html
+++ b/hub/sdk/reference/base/auth/index.html
@@ -22,7 +22,7 @@
 <script>__md_scope=new URL("../../../../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="auth" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="Ultralytics, HUB-SDK, authentication, API key, id token, auth module, Python, secure server" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/hub/sdk/reference/base/auth" property="og:url"/><meta content="auth" property="og:title"/><meta content="Explore the Ultralytics HUB-SDK authentication module. Learn to manage API keys and tokens for secure server interactions." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/hub/sdk/reference/base/auth" property="twitter:url"/><meta content="auth" property="twitter:title"/><meta content="Explore the Ultralytics HUB-SDK authentication module. Learn to manage API keys and tokens for secure server interactions." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "auth", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore the Ultralytics HUB-SDK authentication module. Learn to manage API keys and tokens for secure server interactions."}</script></head>
+<meta content="auth" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="Ultralytics, HUB-SDK, authentication, API key, id token, auth module, Python, secure server" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/hub/sdk/reference/base/auth" property="og:url"/><meta content="auth" property="og:title"/><meta content="Explore the Ultralytics HUB-SDK authentication module. Learn to manage API keys and tokens for secure server interactions." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/hub/sdk/reference/base/auth" property="twitter:url"/><meta content="auth" property="twitter:title"/><meta content="Explore the Ultralytics HUB-SDK authentication module. Learn to manage API keys and tokens for secure server interactions." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "auth", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore the Ultralytics HUB-SDK authentication module. Learn to manage API keys and tokens for secure server interactions."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/hub/sdk/reference/base/crud_client/index.html b/hub/sdk/reference/base/crud_client/index.html
index d9edd3138..40e94f655 100644
--- a/hub/sdk/reference/base/crud_client/index.html
+++ b/hub/sdk/reference/base/crud_client/index.html
@@ -22,7 +22,7 @@
 <script>__md_scope=new URL("../../../../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="crud_client" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="Ultralytics, HUB-SDK, CRUDClient, API, CRUD operations, Python, GitHub, API reference, documentation" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/hub/sdk/reference/base/crud_client" property="og:url"/><meta content="crud_client" property="og:title"/><meta content="Explore the CRUDClient class in Ultralytics HUB-SDK. Learn how to perform CRUD operations with detailed API interactions. Contribute now on GitHub." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/hub/sdk/reference/base/crud_client" property="twitter:url"/><meta content="crud_client" property="twitter:title"/><meta content="Explore the CRUDClient class in Ultralytics HUB-SDK. Learn how to perform CRUD operations with detailed API interactions. Contribute now on GitHub." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "crud_client", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore the CRUDClient class in Ultralytics HUB-SDK. Learn how to perform CRUD operations with detailed API interactions. Contribute now on GitHub."}</script></head>
+<meta content="crud_client" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="Ultralytics, HUB-SDK, CRUDClient, API, CRUD operations, Python, GitHub, API reference, documentation" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/hub/sdk/reference/base/crud_client" property="og:url"/><meta content="crud_client" property="og:title"/><meta content="Explore the CRUDClient class in Ultralytics HUB-SDK. Learn how to perform CRUD operations with detailed API interactions. Contribute now on GitHub." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/hub/sdk/reference/base/crud_client" property="twitter:url"/><meta content="crud_client" property="twitter:title"/><meta content="Explore the CRUDClient class in Ultralytics HUB-SDK. Learn how to perform CRUD operations with detailed API interactions. Contribute now on GitHub." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "crud_client", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore the CRUDClient class in Ultralytics HUB-SDK. Learn how to perform CRUD operations with detailed API interactions. Contribute now on GitHub."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/hub/sdk/reference/base/paginated_list/index.html b/hub/sdk/reference/base/paginated_list/index.html
index 877c67765..b98b76bfc 100644
--- a/hub/sdk/reference/base/paginated_list/index.html
+++ b/hub/sdk/reference/base/paginated_list/index.html
@@ -22,7 +22,7 @@
 <script>__md_scope=new URL("../../../../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="paginated_list" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="Ultralytics, HUB-SDK, Paginated List, data pagination, API, AGPL-3.0, Python, APIClient, SDK functions" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/hub/sdk/reference/base/paginated_list" property="og:url"/><meta content="paginated_list" property="og:title"/><meta content="Explore the Ultralytics HUB-SDK Paginated List, a robust tool for efficient data pagination. Learn its functions, usage, and AGPL-3.0 license details." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/hub/sdk/reference/base/paginated_list" property="twitter:url"/><meta content="paginated_list" property="twitter:title"/><meta content="Explore the Ultralytics HUB-SDK Paginated List, a robust tool for efficient data pagination. Learn its functions, usage, and AGPL-3.0 license details." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "paginated_list", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore the Ultralytics HUB-SDK Paginated List, a robust tool for efficient data pagination. Learn its functions, usage, and AGPL-3.0 license details."}</script></head>
+<meta content="paginated_list" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="Ultralytics, HUB-SDK, Paginated List, data pagination, API, AGPL-3.0, Python, APIClient, SDK functions" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/hub/sdk/reference/base/paginated_list" property="og:url"/><meta content="paginated_list" property="og:title"/><meta content="Explore the Ultralytics HUB-SDK Paginated List, a robust tool for efficient data pagination. Learn its functions, usage, and AGPL-3.0 license details." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/hub/sdk/reference/base/paginated_list" property="twitter:url"/><meta content="paginated_list" property="twitter:title"/><meta content="Explore the Ultralytics HUB-SDK Paginated List, a robust tool for efficient data pagination. Learn its functions, usage, and AGPL-3.0 license details." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "paginated_list", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore the Ultralytics HUB-SDK Paginated List, a robust tool for efficient data pagination. Learn its functions, usage, and AGPL-3.0 license details."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/hub/sdk/reference/base/server_clients/index.html b/hub/sdk/reference/base/server_clients/index.html
index d0535537d..88d639d18 100644
--- a/hub/sdk/reference/base/server_clients/index.html
+++ b/hub/sdk/reference/base/server_clients/index.html
@@ -22,7 +22,7 @@
 <script>__md_scope=new URL("../../../../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="server_clients" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="Ultralytics, HUB-SDK, server_clients, ModelUpload, ProjectUpload, DatasetUpload, API reference, model upload, dataset upload, Colab" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/hub/sdk/reference/base/server_clients" property="og:url"/><meta content="server_clients" property="og:title"/><meta content="Explore the server_clients module in Ultralytics HUB-SDK for handling model, project, and dataset uploads, and Colab environment checks." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/hub/sdk/reference/base/server_clients" property="twitter:url"/><meta content="server_clients" property="twitter:title"/><meta content="Explore the server_clients module in Ultralytics HUB-SDK for handling model, project, and dataset uploads, and Colab environment checks." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "server_clients", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore the server_clients module in Ultralytics HUB-SDK for handling model, project, and dataset uploads, and Colab environment checks."}</script></head>
+<meta content="server_clients" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="Ultralytics, HUB-SDK, server_clients, ModelUpload, ProjectUpload, DatasetUpload, API reference, model upload, dataset upload, Colab" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/hub/sdk/reference/base/server_clients" property="og:url"/><meta content="server_clients" property="og:title"/><meta content="Explore the server_clients module in Ultralytics HUB-SDK for handling model, project, and dataset uploads, and Colab environment checks." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/hub/sdk/reference/base/server_clients" property="twitter:url"/><meta content="server_clients" property="twitter:title"/><meta content="Explore the server_clients module in Ultralytics HUB-SDK for handling model, project, and dataset uploads, and Colab environment checks." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "server_clients", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore the server_clients module in Ultralytics HUB-SDK for handling model, project, and dataset uploads, and Colab environment checks."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/hub/sdk/reference/helpers/error_handler/index.html b/hub/sdk/reference/helpers/error_handler/index.html
index 02bf70909..f5d051476 100644
--- a/hub/sdk/reference/helpers/error_handler/index.html
+++ b/hub/sdk/reference/helpers/error_handler/index.html
@@ -22,7 +22,7 @@
 <script>__md_scope=new URL("../../../../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="error_handler" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="Ultralytics, ErrorHandler, hub_sdk, error handling, documentation, Python" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/hub/sdk/reference/helpers/error_handler" property="og:url"/><meta content="error_handler" property="og:title"/><meta content="Explore the ErrorHandler module in Ultralytics hub_sdk helpers. Learn its usage and contribute to improvements." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/hub/sdk/reference/helpers/error_handler" property="twitter:url"/><meta content="error_handler" property="twitter:title"/><meta content="Explore the ErrorHandler module in Ultralytics hub_sdk helpers. Learn its usage and contribute to improvements." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "error_handler", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore the ErrorHandler module in Ultralytics hub_sdk helpers. Learn its usage and contribute to improvements."}</script></head>
+<meta content="error_handler" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="Ultralytics, ErrorHandler, hub_sdk, error handling, documentation, Python" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/hub/sdk/reference/helpers/error_handler" property="og:url"/><meta content="error_handler" property="og:title"/><meta content="Explore the ErrorHandler module in Ultralytics hub_sdk helpers. Learn its usage and contribute to improvements." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/hub/sdk/reference/helpers/error_handler" property="twitter:url"/><meta content="error_handler" property="twitter:title"/><meta content="Explore the ErrorHandler module in Ultralytics hub_sdk helpers. Learn its usage and contribute to improvements." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "error_handler", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore the ErrorHandler module in Ultralytics hub_sdk helpers. Learn its usage and contribute to improvements."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/hub/sdk/reference/helpers/exceptions/index.html b/hub/sdk/reference/helpers/exceptions/index.html
index 908e0f70a..46dfebc69 100644
--- a/hub/sdk/reference/helpers/exceptions/index.html
+++ b/hub/sdk/reference/helpers/exceptions/index.html
@@ -22,7 +22,7 @@
 <script>__md_scope=new URL("../../../../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="exceptions" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="Ultralytics, HUB-SDK, exception handling, suppress_exceptions, Python, documentation, GitHub, codebase" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/hub/sdk/reference/helpers/exceptions" property="og:url"/><meta content="exceptions" property="og:title"/><meta content="Learn about exception handling in Ultralytics HUB-SDK. Access the suppress_exceptions function to control exceptions globally. Contribute on GitHub." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/hub/sdk/reference/helpers/exceptions" property="twitter:url"/><meta content="exceptions" property="twitter:title"/><meta content="Learn about exception handling in Ultralytics HUB-SDK. Access the suppress_exceptions function to control exceptions globally. Contribute on GitHub." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "exceptions", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Learn about exception handling in Ultralytics HUB-SDK. Access the suppress_exceptions function to control exceptions globally. Contribute on GitHub."}</script></head>
+<meta content="exceptions" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="Ultralytics, HUB-SDK, exception handling, suppress_exceptions, Python, documentation, GitHub, codebase" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/hub/sdk/reference/helpers/exceptions" property="og:url"/><meta content="exceptions" property="og:title"/><meta content="Learn about exception handling in Ultralytics HUB-SDK. Access the suppress_exceptions function to control exceptions globally. Contribute on GitHub." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/hub/sdk/reference/helpers/exceptions" property="twitter:url"/><meta content="exceptions" property="twitter:title"/><meta content="Learn about exception handling in Ultralytics HUB-SDK. Access the suppress_exceptions function to control exceptions globally. Contribute on GitHub." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "exceptions", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Learn about exception handling in Ultralytics HUB-SDK. Access the suppress_exceptions function to control exceptions globally. Contribute on GitHub."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/hub/sdk/reference/helpers/logger/index.html b/hub/sdk/reference/helpers/logger/index.html
index 0b469f988..a96999a83 100644
--- a/hub/sdk/reference/helpers/logger/index.html
+++ b/hub/sdk/reference/helpers/logger/index.html
@@ -22,7 +22,7 @@
 <script>__md_scope=new URL("../../../../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="logger" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="Ultralytics, Logger, HUB-SDK, logging configuration, Python, log management, developer guide" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/hub/sdk/reference/helpers/logger" property="og:url"/><meta content="logger" property="og:title"/><meta content="Learn how to configure and utilize the Logger class in Ultralytics HUB-SDK for effective log management in your projects." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/hub/sdk/reference/helpers/logger" property="twitter:url"/><meta content="logger" property="twitter:title"/><meta content="Learn how to configure and utilize the Logger class in Ultralytics HUB-SDK for effective log management in your projects." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "logger", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Learn how to configure and utilize the Logger class in Ultralytics HUB-SDK for effective log management in your projects."}</script></head>
+<meta content="logger" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="Ultralytics, Logger, HUB-SDK, logging configuration, Python, log management, developer guide" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/hub/sdk/reference/helpers/logger" property="og:url"/><meta content="logger" property="og:title"/><meta content="Learn how to configure and utilize the Logger class in Ultralytics HUB-SDK for effective log management in your projects." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/hub/sdk/reference/helpers/logger" property="twitter:url"/><meta content="logger" property="twitter:title"/><meta content="Learn how to configure and utilize the Logger class in Ultralytics HUB-SDK for effective log management in your projects." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "logger", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Learn how to configure and utilize the Logger class in Ultralytics HUB-SDK for effective log management in your projects."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/hub/sdk/reference/helpers/utils/index.html b/hub/sdk/reference/helpers/utils/index.html
index c4bef0b7f..1a376510a 100644
--- a/hub/sdk/reference/helpers/utils/index.html
+++ b/hub/sdk/reference/helpers/utils/index.html
@@ -22,7 +22,7 @@
 <script>__md_scope=new URL("../../../../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="utils" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="Ultralytics HUB SDK, threaded decorator, multi-threading, Python utils, performance enhancement, code efficiency" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/hub/sdk/reference/helpers/utils" property="og:url"/><meta content="utils" property="og:title"/><meta content="Learn to multi-thread functions using the @threaded decorator in the Ultralytics HUB SDK. Enhance your code efficiency and performance." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/hub/sdk/reference/helpers/utils" property="twitter:url"/><meta content="utils" property="twitter:title"/><meta content="Learn to multi-thread functions using the @threaded decorator in the Ultralytics HUB SDK. Enhance your code efficiency and performance." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "utils", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Learn to multi-thread functions using the @threaded decorator in the Ultralytics HUB SDK. Enhance your code efficiency and performance."}</script></head>
+<meta content="utils" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="Ultralytics HUB SDK, threaded decorator, multi-threading, Python utils, performance enhancement, code efficiency" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/hub/sdk/reference/helpers/utils" property="og:url"/><meta content="utils" property="og:title"/><meta content="Learn to multi-thread functions using the @threaded decorator in the Ultralytics HUB SDK. Enhance your code efficiency and performance." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/hub/sdk/reference/helpers/utils" property="twitter:url"/><meta content="utils" property="twitter:title"/><meta content="Learn to multi-thread functions using the @threaded decorator in the Ultralytics HUB SDK. Enhance your code efficiency and performance." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "utils", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Learn to multi-thread functions using the @threaded decorator in the Ultralytics HUB SDK. Enhance your code efficiency and performance."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/hub/sdk/reference/hub_client/index.html b/hub/sdk/reference/hub_client/index.html
index 03c920776..835c4eabe 100644
--- a/hub/sdk/reference/hub_client/index.html
+++ b/hub/sdk/reference/hub_client/index.html
@@ -22,7 +22,7 @@
 <script>__md_scope=new URL("../../../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="hub_client" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="Ultralytics HUB SDK, HUBClient, Python SDK, authentication, datasets, models, projects, users" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/hub/sdk/reference/hub_client" property="og:url"/><meta content="hub_client" property="og:title"/><meta content="Discover the Ultralytics HUB SDK client for seamless authentication and interaction with models, datasets, projects, and users." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/hub/sdk/reference/hub_client" property="twitter:url"/><meta content="hub_client" property="twitter:title"/><meta content="Discover the Ultralytics HUB SDK client for seamless authentication and interaction with models, datasets, projects, and users." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "hub_client", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Discover the Ultralytics HUB SDK client for seamless authentication and interaction with models, datasets, projects, and users."}</script></head>
+<meta content="hub_client" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="Ultralytics HUB SDK, HUBClient, Python SDK, authentication, datasets, models, projects, users" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/hub/sdk/reference/hub_client" property="og:url"/><meta content="hub_client" property="og:title"/><meta content="Discover the Ultralytics HUB SDK client for seamless authentication and interaction with models, datasets, projects, and users." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/hub/sdk/reference/hub_client" property="twitter:url"/><meta content="hub_client" property="twitter:title"/><meta content="Discover the Ultralytics HUB SDK client for seamless authentication and interaction with models, datasets, projects, and users." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "hub_client", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Discover the Ultralytics HUB SDK client for seamless authentication and interaction with models, datasets, projects, and users."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/hub/sdk/reference/modules/datasets/index.html b/hub/sdk/reference/modules/datasets/index.html
index 7e9ca2556..726ea8065 100644
--- a/hub/sdk/reference/modules/datasets/index.html
+++ b/hub/sdk/reference/modules/datasets/index.html
@@ -22,7 +22,7 @@
 <script>__md_scope=new URL("../../../../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="datasets" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="Ultralytics, HUB SDK, datasets, documentation, CRUD operations, API, dataset upload" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/hub/sdk/reference/modules/datasets" property="og:url"/><meta content="datasets" property="og:title"/><meta content="Access comprehensive documentation for Ultralytics HUB SDK Datasets. Learn CRUD operations, dataset uploads, and interact with API endpoints effortlessly." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/hub/sdk/reference/modules/datasets" property="twitter:url"/><meta content="datasets" property="twitter:title"/><meta content="Access comprehensive documentation for Ultralytics HUB SDK Datasets. Learn CRUD operations, dataset uploads, and interact with API endpoints effortlessly." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "datasets", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Access comprehensive documentation for Ultralytics HUB SDK Datasets. Learn CRUD operations, dataset uploads, and interact with API endpoints effortlessly."}</script></head>
+<meta content="datasets" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="Ultralytics, HUB SDK, datasets, documentation, CRUD operations, API, dataset upload" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/hub/sdk/reference/modules/datasets" property="og:url"/><meta content="datasets" property="og:title"/><meta content="Access comprehensive documentation for Ultralytics HUB SDK Datasets. Learn CRUD operations, dataset uploads, and interact with API endpoints effortlessly." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/hub/sdk/reference/modules/datasets" property="twitter:url"/><meta content="datasets" property="twitter:title"/><meta content="Access comprehensive documentation for Ultralytics HUB SDK Datasets. Learn CRUD operations, dataset uploads, and interact with API endpoints effortlessly." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "datasets", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Access comprehensive documentation for Ultralytics HUB SDK Datasets. Learn CRUD operations, dataset uploads, and interact with API endpoints effortlessly."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/hub/sdk/reference/modules/models/index.html b/hub/sdk/reference/modules/models/index.html
index 609b62445..ffb52bee4 100644
--- a/hub/sdk/reference/modules/models/index.html
+++ b/hub/sdk/reference/modules/models/index.html
@@ -22,7 +22,7 @@
 <script>__md_scope=new URL("../../../../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="models" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="Ultralytics, HUB-SDK, Models, CRUD, API, Model Management, Python SDK" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/hub/sdk/reference/modules/models" property="og:url"/><meta content="models" property="og:title"/><meta content="Explore the Ultralytics HUB-SDK Models module for managing model CRUD operations and interactions via a robust client interface." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/hub/sdk/reference/modules/models" property="twitter:url"/><meta content="models" property="twitter:title"/><meta content="Explore the Ultralytics HUB-SDK Models module for managing model CRUD operations and interactions via a robust client interface." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "models", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore the Ultralytics HUB-SDK Models module for managing model CRUD operations and interactions via a robust client interface."}</script></head>
+<meta content="models" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="Ultralytics, HUB-SDK, Models, CRUD, API, Model Management, Python SDK" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/hub/sdk/reference/modules/models" property="og:url"/><meta content="models" property="og:title"/><meta content="Explore the Ultralytics HUB-SDK Models module for managing model CRUD operations and interactions via a robust client interface." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/hub/sdk/reference/modules/models" property="twitter:url"/><meta content="models" property="twitter:title"/><meta content="Explore the Ultralytics HUB-SDK Models module for managing model CRUD operations and interactions via a robust client interface." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "models", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore the Ultralytics HUB-SDK Models module for managing model CRUD operations and interactions via a robust client interface."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/hub/sdk/reference/modules/projects/index.html b/hub/sdk/reference/modules/projects/index.html
index 7f2f9ba4b..3b9b2e1d0 100644
--- a/hub/sdk/reference/modules/projects/index.html
+++ b/hub/sdk/reference/modules/projects/index.html
@@ -22,7 +22,7 @@
 <script>__md_scope=new URL("../../../../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="projects" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="Ultralytics, hub_sdk, modules, projects, CRUD, ProjectList, API, project management" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/hub/sdk/reference/modules/projects" property="og:url"/><meta content="projects" property="og:title"/><meta content="Learn about the Ultralytics hub_sdk.modules.projects module. Access CRUD operations, manage project data, and explore the ProjectList class." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/hub/sdk/reference/modules/projects" property="twitter:url"/><meta content="projects" property="twitter:title"/><meta content="Learn about the Ultralytics hub_sdk.modules.projects module. Access CRUD operations, manage project data, and explore the ProjectList class." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "projects", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Learn about the Ultralytics hub_sdk.modules.projects module. Access CRUD operations, manage project data, and explore the ProjectList class."}</script></head>
+<meta content="projects" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="Ultralytics, hub_sdk, modules, projects, CRUD, ProjectList, API, project management" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/hub/sdk/reference/modules/projects" property="og:url"/><meta content="projects" property="og:title"/><meta content="Learn about the Ultralytics hub_sdk.modules.projects module. Access CRUD operations, manage project data, and explore the ProjectList class." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/hub/sdk/reference/modules/projects" property="twitter:url"/><meta content="projects" property="twitter:title"/><meta content="Learn about the Ultralytics hub_sdk.modules.projects module. Access CRUD operations, manage project data, and explore the ProjectList class." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "projects", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Learn about the Ultralytics hub_sdk.modules.projects module. Access CRUD operations, manage project data, and explore the ProjectList class."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/hub/sdk/reference/modules/teams/index.html b/hub/sdk/reference/modules/teams/index.html
index d1d09c206..c6810c1e6 100644
--- a/hub/sdk/reference/modules/teams/index.html
+++ b/hub/sdk/reference/modules/teams/index.html
@@ -22,7 +22,7 @@
 <script>__md_scope=new URL("../../../../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="teams" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="Ultralytics, HUB-SDK, Teams client, API reference, create team, update team, delete team, team data management" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/hub/sdk/reference/modules/teams" property="og:url"/><meta content="teams" property="og:title"/><meta content="Explore the Teams client class methods and attributes for managing team data and operations in Ultralytics HUB-SDK. Learn to create, update, and delete teams." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/hub/sdk/reference/modules/teams" property="twitter:url"/><meta content="teams" property="twitter:title"/><meta content="Explore the Teams client class methods and attributes for managing team data and operations in Ultralytics HUB-SDK. Learn to create, update, and delete teams." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "teams", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore the Teams client class methods and attributes for managing team data and operations in Ultralytics HUB-SDK. Learn to create, update, and delete teams."}</script></head>
+<meta content="teams" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="Ultralytics, HUB-SDK, Teams client, API reference, create team, update team, delete team, team data management" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/hub/sdk/reference/modules/teams" property="og:url"/><meta content="teams" property="og:title"/><meta content="Explore the Teams client class methods and attributes for managing team data and operations in Ultralytics HUB-SDK. Learn to create, update, and delete teams." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/hub/sdk/reference/modules/teams" property="twitter:url"/><meta content="teams" property="twitter:title"/><meta content="Explore the Teams client class methods and attributes for managing team data and operations in Ultralytics HUB-SDK. Learn to create, update, and delete teams." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "teams", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Explore the Teams client class methods and attributes for managing team data and operations in Ultralytics HUB-SDK. Learn to create, update, and delete teams."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>
diff --git a/hub/sdk/reference/modules/users/index.html b/hub/sdk/reference/modules/users/index.html
index f02882ecc..06f433107 100644
--- a/hub/sdk/reference/modules/users/index.html
+++ b/hub/sdk/reference/modules/users/index.html
@@ -22,7 +22,7 @@
 <script>__md_scope=new URL("../../../../..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
 <script id="__analytics">function __md_analytics(){function e(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],e("js",new Date),e("config","G-2M5EHKC0BH"),document.addEventListener("DOMContentLoaded",(function(){document.forms.search&&document.forms.search.query.addEventListener("blur",(function(){this.value&&e("event","search",{search_term:this.value})}));document$.subscribe((function(){var t=document.forms.feedback;if(void 0!==t)for(var a of t.querySelectorAll("[type=submit]"))a.addEventListener("click",(function(a){a.preventDefault();var n=document.location.pathname,d=this.getAttribute("data-md-value");e("event","feedback",{page:n,data:d}),t.firstElementChild.disabled=!0;var r=t.querySelector(".md-feedback__note [data-md-value='"+d+"']");r&&(r.hidden=!1)})),t.hidden=!1})),location$.subscribe((function(t){e("config","G-2M5EHKC0BH",{page_path:t.pathname})}))}));var t=document.createElement("script");t.async=!0,t.src="https://www.googletagmanager.com/gtag/js?id=G-2M5EHKC0BH",document.getElementById("__analytics").insertAdjacentElement("afterEnd",t)}</script>
 <script>"undefined"!=typeof __md_analytics&&__md_analytics()</script>
-<meta content="users" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="Ultralytics, HUB-SDK, Users module, CRUD operations, API, manage user data" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/hub/sdk/reference/modules/users" property="og:url"/><meta content="users" property="og:title"/><meta content="Comprehensive reference for the Users module in Ultralytics HUB-SDK. Learn about CRUD operations, attributes, and methods to manage user data effectively." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/hub/sdk/reference/modules/users" property="twitter:url"/><meta content="users" property="twitter:title"/><meta content="Comprehensive reference for the Users module in Ultralytics HUB-SDK. Learn about CRUD operations, attributes, and methods to manage user data effectively." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "users", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:19:01 +0000", "dateModified": "2024-12-22 12:19:01 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Comprehensive reference for the Users module in Ultralytics HUB-SDK. Learn about CRUD operations, attributes, and methods to manage user data effectively."}</script></head>
+<meta content="users" name="title"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/all.min.css" rel="stylesheet"/><meta content="Ultralytics, HUB-SDK, Users module, CRUD operations, API, manage user data" name="keywords"/><meta content="website" property="og:type"/><meta content="https://docs.ultralytics.com/hub/sdk/reference/modules/users" property="og:url"/><meta content="users" property="og:title"/><meta content="Comprehensive reference for the Users module in Ultralytics HUB-SDK. Learn about CRUD operations, attributes, and methods to manage user data effectively." property="og:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="og:image"/><meta content="summary_large_image" property="twitter:card"/><meta content="https://docs.ultralytics.com/hub/sdk/reference/modules/users" property="twitter:url"/><meta content="users" property="twitter:title"/><meta content="Comprehensive reference for the Users module in Ultralytics HUB-SDK. Learn about CRUD operations, attributes, and methods to manage user data effectively." property="twitter:description"/><meta content="https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png" property="twitter:image"/><script type="application/ld+json">{"@context": "https://schema.org", "@type": "Article", "headline": "users", "image": ["https://raw.githubusercontent.com/ultralytics/assets/main/yolov8/banner-yolov8.png"], "datePublished": "2024-02-01 12:50:39 +0000", "dateModified": "2024-12-22 12:50:39 +0000", "author": [{"@type": "Organization", "name": "Ultralytics", "url": "https://ultralytics.com/"}], "abstract": "Comprehensive reference for the Users module in Ultralytics HUB-SDK. Learn about CRUD operations, attributes, and methods to manage user data effectively."}</script></head>
 <body data-md-color-accent="indigo" data-md-color-primary="indigo" data-md-color-scheme="default" dir="ltr">
 <input autocomplete="off" class="md-toggle" data-md-toggle="drawer" id="__drawer" type="checkbox"/>
 <input autocomplete="off" class="md-toggle" data-md-toggle="search" id="__search" type="checkbox"/>