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@@ -1,10 +1,10 @@
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-# YOLOv5:
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+# YOLOvx:
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| Model | Scale | Batch | AP<sup>test<br>0.5:0.95 | AP<sup>test<br>0.5 | 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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| YOLOvx-N | 640 | 8xb16 | | | | | 9.1 | 2.4 | |
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| YOLOvx-T | 640 | 8xb16 | | | | | 19.0 | 5.1 | |
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-| YOLOvx-S | 640 | 8xb16 | | | 43.3 | 62.6 | 33.6 | 9.0 | [ckpt](https://github.com/yjh0410/PyTorch_YOLO_Tutorial/releases/download/yolo_tutorial_ckpt/yolovx_s_coco.pth) |
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+| YOLOvx-S | 640 | 8xb16 | 43.6 | 62.6 | 43.3 | 62.6 | 33.6 | 9.0 | [ckpt](https://github.com/yjh0410/PyTorch_YOLO_Tutorial/releases/download/yolo_tutorial_ckpt/yolovx_s_coco.pth) |
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| YOLOvx-M | 640 | 8xb16 | 48.3 | 67.0 | 48.1 | 66.9 | 87.4 | 23.6 | [ckpt](https://github.com/yjh0410/PyTorch_YOLO_Tutorial/releases/download/yolo_tutorial_ckpt/yolovx_m_coco.pth) |
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| YOLOvx-L | 640 | 8xb16 | 50.2 | 68.6 | 50.0 | 68.4 | 176.6 | 47.6 | [ckpt](https://github.com/yjh0410/PyTorch_YOLO_Tutorial/releases/download/yolo_tutorial_ckpt/yolovx_l_coco.pth) |
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| YOLOvx-X | 640 | | | | | | | | |
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