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@@ -98,7 +98,7 @@ python train.py --cuda -d coco --root path/to/COCO -v yolov1 -bs 16 --max_epoch
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| Model | Scale | IP | Epoch | AP<sup>val<br>0.5:0.95 | AP<sup>test<br>50 | Weight |
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| Model | Scale | IP | Epoch | AP<sup>val<br>0.5:0.95 | AP<sup>test<br>50 | Weight |
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|--------|-------|------|-------|------------------------|-------------------|--------|
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|--------|-------|------|-------|------------------------|-------------------|--------|
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-| YOLOv1 | 640 | √ | 150 | | | |
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+| YOLOv1 | 640 | √ | 150 | 27.9 | 47.5 | [ckpt](https://github.com/yjh0410/PyTorch_YOLO_Tutorial/releases/download/yolo_tutorial_ckpt/yolov1_coco.pth) |
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| YOLOv2 | 640 | √ | 150 | 32.7 | 50.9 | [ckpt](https://github.com/yjh0410/PyTorch_YOLO_Tutorial/releases/download/yolo_tutorial_ckpt/yolov2_coco.pth) |
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| YOLOv2 | 640 | √ | 150 | 32.7 | 50.9 | [ckpt](https://github.com/yjh0410/PyTorch_YOLO_Tutorial/releases/download/yolo_tutorial_ckpt/yolov2_coco.pth) |
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| YOLOv3 | 640 | √ | 250 | | | |
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| YOLOv3 | 640 | √ | 250 | | | |
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| YOLOv4 | 640 | √ | 250 | | | |
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| YOLOv4 | 640 | √ | 250 | | | |
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