integrations/coreml/ #17940
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👋 Hello, thank you for bringing up this topic and your interest in Ultralytics 🚀! The CoreML integration is an exciting feature for optimized, on-device machine learning on iOS and macOS devices. We recommend checking the Docs for in-depth information about exporting models to CoreML as well as exploring other integrations. If you encounter any issues or have specific questions, please provide as much detail as possible, including error messages, logs, and steps to reproduce the issue. If you think it's a 🐛 Bug, providing a minimum reproducible example will help us debug it more efficiently. If you're new to model deployment, feel free to review our CLI and Python API guides for exporting and managing models. Looking to connect with others? Join our growing community:
UpgradeIf you're using the pip install -U ultralytics EnvironmentsFor exporting and testing models, make sure your environment is appropriately configured. YOLO supports all the following verified environments:
StatusIf you see this badge as green, all Ultralytics CI tests are passing, ensuring our models work seamlessly across supported platforms. This is an automated response, but rest assured, an Ultralytics engineer will assist you shortly to address any additional queries you have! 😊 |
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When I am Converting the Yolo .pt model to coreml model , mlpackage is creating and when I am checking it in the xcode the class labels are missing. For the core ml models in ultralytics github page class labels are there. If its solved i can test my custom yolo models. |
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integrations/coreml/
Learn how to export YOLO11 models to CoreML for optimized, on-device machine learning on iOS and macOS. Follow step-by-step instructions.
https://docs.ultralytics.com/integrations/coreml/
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