release our YOLOv5 on VOC

README.md

@@ -70,7 +70,7 @@ python train.py --cuda -d voc --root path/to/VOCdevkit -v yolov1 -bs 16 --max_ep
 | 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) |
 | 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) |
 | 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) |
-| YOLOv5 | CSPDarkNet-L  |  640  |  √   |  150  |      |                          |                   |                    |  |
+| 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) |
 | 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) |
 | 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) |