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@ZGX12138 for YOLOv3 no, but you can see YOLOv5 VOC results here: Training is very simple: # VOC
for b, m in zip([64, 64, 64, 32, 16], [f'yolov5{x}' for x in 'nsmlx']): # batch, model
!python train.py --batch {b} --weights {m}.pt --data VOC.yaml --epochs 50 --img 512 --hyp hyp.VOC.yaml --name {m} --cache |
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Can you provide the performance table of each yolov3 version
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