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Add yolov5x weight #73

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Apr 28, 2023
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Add yolov5x weight #73

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1 change: 1 addition & 0 deletions MODEL_ZOO.md
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Expand Up @@ -9,6 +9,7 @@
| YOLOv5 | S | D910x8-G | 640 | MS COCO 2017 | 37.6 | 7.2M | 16.5G | [yaml](https://github.com/mindspore-lab/mindyolo/blob/master/configs/yolov5/yolov5s.yaml) | [weights](https://download.mindspore.cn/toolkits/mindyolo/yolov5/yolov5s_300e_mAP376-860bcf3b.ckpt) |
| YOLOv5 | M | D910x8-G | 640 | MS COCO 2017 | 44.9 | 21.2M | 49.0G | [yaml](https://github.com/mindspore-lab/mindyolo/blob/master/configs/yolov5/yolov5m.yaml) | [weights](https://download.mindspore.cn/toolkits/mindyolo/yolov5/yolov5m_300e_mAP449-e7bbf695.ckpt) |
| YOLOv5 | L | D910x8-G | 640 | MS COCO 2017 | 48.5 | 46.5M | 109.1G | [yaml](https://github.com/mindspore-lab/mindyolo/blob/master/configs/yolov5/yolov5l.yaml) | [weights](https://download.mindspore.cn/toolkits/mindyolo/yolov5/yolov5l_300e_mAP485-a28bce73.ckpt) |
| YOLOv5 | X | D910x8-G | 640 | MS COCO 2017 | 50.5 | 86.7M | 205.7G | [yaml](https://github.com/mindspore-lab/mindyolo/blob/master/configs/yolov5/yolov5x.yaml) | [weights](https://download.mindspore.cn/toolkits/mindyolo/yolov5/yolov5x_300e_mAP505-97d36ddc.ckpt) |
| YOLOv3 | Darknet53 | D910x8-G | 640 | MS COCO 2017 | 45.5 | 61.9M | 156.4G | [yaml](https://github.com/mindspore-lab/mindyolo/blob/master/configs/yolov3/yolov3.yaml) | [weights](https://download.mindspore.cn/toolkits/mindyolo/yolov3/yolov3-darknet53_300e_mAP455-adfb27af.ckpt) |

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1 change: 1 addition & 0 deletions configs/yolov5/README.md
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Expand Up @@ -16,6 +16,7 @@ YOLOv5 is a family of object detection architectures and models pretrained on th
| YOLOv5 | S | P5 | D910x8-G | 640 | MS COCO 2017 | 37.6 | 7.2M | 16.5G | [yaml](https://github.com/mindspore-lab/mindyolo/blob/master/configs/yolov5/yolov5s.yaml) | [weights](https://download.mindspore.cn/toolkits/mindyolo/yolov5/yolov5s_300e_mAP376-860bcf3b.ckpt) |
| YOLOv5 | M | P5 | D910x8-G | 640 | MS COCO 2017 | 44.9 | 21.2M | 49.0G | [yaml](https://github.com/mindspore-lab/mindyolo/blob/master/configs/yolov5/yolov5m.yaml) | [weights](https://download.mindspore.cn/toolkits/mindyolo/yolov5/yolov5m_300e_mAP449-e7bbf695.ckpt) |
| YOLOv5 | L | P5 | D910x8-G | 640 | MS COCO 2017 | 48.5 | 46.5M | 109.1G | [yaml](https://github.com/mindspore-lab/mindyolo/blob/master/configs/yolov5/yolov5l.yaml) | [weights](https://download.mindspore.cn/toolkits/mindyolo/yolov5/yolov5l_300e_mAP485-a28bce73.ckpt) |
| YOLOv5 | X | P5 | D910x8-G | 640 | MS COCO 2017 | 50.5 | 86.7M | 205.7G | [yaml](https://github.com/mindspore-lab/mindyolo/blob/master/configs/yolov5/yolov5x.yaml) | [weights](https://download.mindspore.cn/toolkits/mindyolo/yolov5/yolov5x_300e_mAP505-97d36ddc.ckpt) |

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