ultralytics/yolov5
yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
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ultralytics
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May 18, 2020
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README Summary
YOLOv5 is a state-of-the-art real-time object detection model implemented in PyTorch with support for training custom datasets and deployment across multiple formats. It provides pre-trained models, comprehensive training scripts, and export capabilities to ONNX, CoreML, TensorFlow, and other formats. The repository includes extensive documentation, tutorials, and integration examples for various deployment scenarios.
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Updated 26 days ago
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- Project created
- May 18, 2020
- Forked
- Mar 22, 2026
- Your last push
- 26 days ago
- Upstream last push
- 11 days ago
- Tracked since
- Mar 18, 2026
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