yolov3 and Yolo-v2-pytorch
These two tools are competitors, as both are PyTorch implementations of different versions of the YOLO object detection models, with the choice depending on whether one prefers YOLOv3 or YOLOv2.
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 Yolo-v2-pytorch
vietnh1009/Yolo-v2-pytorch
YOLO for object detection tasks
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