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@@ -70,7 +70,7 @@ python train.py --cuda -d voc --root path/to/VOCdevkit -v yolov1 -bs 16 --max_ep
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| YOLOv2 | DarkNet-19 | 640 | √ | 150 | 79.8 | | 53.9 | 30.9 | [ckpt](https://github.com/yjh0410/PyTorch_YOLO_Tutorial/releases/download/yolo_tutorial_ckpt/yolov2_voc.pth) |
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| YOLOv3 | DarkNet-53 | 640 | √ | 150 | 82.0 | | 167.4 | 54.9 | [ckpt](https://github.com/yjh0410/PyTorch_YOLO_Tutorial/releases/download/yolo_tutorial_ckpt/yolov3_voc.pth) |
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| YOLOv4 | CSPDarkNet-53 | 640 | √ | 150 | 83.6 | | 162.7 | 61.5 | [ckpt](https://github.com/yjh0410/PyTorch_YOLO_Tutorial/releases/download/yolo_tutorial_ckpt/yolov4_voc.pth) |
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-| YOLOv5 | CSPDarkNet-L | 640 | √ | 150 | | | | | |
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+| YOLOv5 | CSPDarkNet-L | 640 | √ | 150 | 83.8 | | 155.6 | 54.2 | [ckpt](https://github.com/yjh0410/PyTorch_YOLO_Tutorial/releases/download/yolo_tutorial_ckpt/yolov5_voc.pth) |
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| YOLOX | CSPDarkNet-L | 640 | √ | 150 | 84.6 | | 155.4 | 54.2 | [ckpt](https://github.com/yjh0410/PyTorch_YOLO_Tutorial/releases/download/yolo_tutorial_ckpt/yolox_voc.pth) |
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| YOLOv7 | ELANNet | 640 | √ | 150 | 85.5 | | 144.6 | 44.0 | [ckpt](https://github.com/yjh0410/PyTorch_YOLO_Tutorial/releases/download/yolo_tutorial_ckpt/yolov7_voc.pth) |
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