yolov3 and yolov5-pip
These tools are competitors, with A being an earlier model version by Ultralytics and B being a separately packaged and enhanced version of Ultrometric's subsequent YOLOv5 model, offering additional features beyond the original.
About yolov3
ultralytics/yolov3
YOLOv3 in PyTorch > ONNX > CoreML > TFLite
Implements multi-scale feature pyramids and anchor-based detection with spatial attention mechanisms for improved accuracy on small objects. Provides built-in training pipelines with data augmentation, mixed-precision support, and batch normalization optimization across PyTorch, ONNX, CoreML, and TFLite export targets for seamless deployment across cloud and edge devices.
About yolov5-pip
fcakyon/yolov5-pip
Packaged version of ultralytics/yolov5 + many extra features
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work