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@@ -74,7 +74,7 @@ Results saved to /content/yolov5/inference/output
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  ## Reproduce Our Training
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- Download [COCO](https://github.com/ultralytics/yolov5/blob/master/data/get_coco2017.sh), install [Apex](https://github.com/NVIDIA/apex) and run command below. Training times for yolov5s/m/l/x are 2/4/6/8 days on a single V100 (multi-GPU times faster). Use the largest `--batch-size` your GPU allows (batch sizes shown for 16 GB devices).
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  ```bash
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  $ python train.py --data coco.yaml --cfg yolov5s.yaml --weights '' --batch-size 64
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  yolov5m 48
 
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  ## Reproduce Our Training
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+ Download [COCO](https://github.com/ultralytics/yolov5/blob/master/data/get_coco2017.sh), install [Apex](https://github.com/NVIDIA/apex) and run command below. Training times for YOLOv5s/m/l/x are 2/4/6/8 days on a single V100 (multi-GPU times faster). Use the largest `--batch-size` your GPU allows (batch sizes shown for 16 GB devices).
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  ```bash
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  $ python train.py --data coco.yaml --cfg yolov5s.yaml --weights '' --batch-size 64
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  yolov5m 48