We implemented MTCNN for face extraction, ESRGAN for feature extraction, and Sequential API for gender classification achieving 94.5% accuracy. YOLOv9 for mask segmentation with 92.3% accuracy. Landmark detection via MediaPipe. Pix2Pix for realistic facial feature generation, achieving 82% accuracy.
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We implemented MTCNN for face extraction, ESRGAN for feature extraction, and Sequential API for gender classification achieving 94.5% accuracy. YOLOv9 for mask segmentation with 92.3% accuracy. Landmark detection via MediaPipe. Pix2Pix for realistic facial feature generation, achieving 82% accuracy.
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Abhirajgautam28/Masked-Face-Detection-Reconstruction-For-Identity-Verification
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We implemented MTCNN for face extraction, ESRGAN for feature extraction, and Sequential API for gender classification achieving 94.5% accuracy. YOLOv9 for mask segmentation with 92.3% accuracy. Landmark detection via MediaPipe. Pix2Pix for realistic facial feature generation, achieving 82% accuracy.
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