Strengths
- Supports multiple export formats (ONNX, CoreML, TFLite) for flexible deployment.
- Compatible with YOLOv5 updates ensuring ongoing maintenance.
- Achieves 28.2 mAP on COCO dataset at 22 ms per 320×320 frame.
- Straightforward training process via Ultralytics API on custom data.
- Available in multiple implementations including PyTorch and TensorFlow.
Limitations
- Original Darknet repository is inactive, relying on community forks like Ultralytics for updates.
- Documentation specific to YOLOv3 is limited; users often refer to newer YOLO versions for general principles.
- Original Darknet .cfg model archives are no longer maintained.