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@@ -3,7 +3,7 @@
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| Model | Backbone | Batch | Scale | AP<sup>val<br>0.5:0.95 | AP<sup>val<br>0.5 | FLOPs<br><sup>(G) | Params<br><sup>(M) | Weight |
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|-------------|---------------|-------|-------|------------------------|-------------------|-------------------|--------------------|--------|
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| YOLOv7-Tiny | ELANNet-Tiny | 8xb16 | 640 | 39.5 | 58.5 | 22.6 | 7.9 | [ckpt](https://github.com/yjh0410/PyTorch_YOLO_Tutorial/releases/download/yolo_tutorial_ckpt/yolov7_tiny_coco.pth) |
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-| YOLOv7 | ELANNet-Large | 1xb16 | 640 | 48.0 | 67.5 | 144.6 | 44.0 | [ckpt](https://github.com/yjh0410/PyTorch_YOLO_Tutorial/releases/download/yolo_tutorial_ckpt/yolov7_large_coco.pth) |
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+| YOLOv7 | ELANNet-Large | 8xb16 | 640 | 49.5 | 68.8 | 144.6 | 44.0 | [ckpt](https://github.com/yjh0410/PyTorch_YOLO_Tutorial/releases/download/yolo_tutorial_ckpt/yolov7_coco.pth) |
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| YOLOv7-X | ELANNet-Huge | | 640 | | | | | |
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- For training, we train `YOLOv7` and `YOLOv7-Tiny` with 300 epochs on 8 GPUs.
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