Improve classification comments (#8997)

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Glenn Jocher authored and GitHub committed 2022-08-17 15:33:37 +02:00
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"""
Train a YOLOv5 classifier model on a classification dataset
Datasets: --data mnist, fashion-mnist, cifar10, cifar100, imagenette, imagewoof, imagenet, or 'path/to/custom/dataset'
YOLOv5-cls models: --model yolov5n-cls.pt, yolov5s-cls.pt, yolov5m-cls.pt, yolov5l-cls.pt, yolov5x-cls.pt
Torchvision models: --model resnet50, efficientnet_b0, etc. See https://pytorch.org/vision/stable/models.html
Usage:
Usage - Single-GPU and Multi-GPU DDP
$ python classify/train.py --model yolov5s-cls.pt --data cifar100 --epochs 5 --img 128
$ python -m torch.distributed.run --nproc_per_node 4 --master_port 1 classify/train.py --model yolov5s-cls.pt --data imagenet --epochs 5 --img 224 --device 0,1,2,3
"""