SomeBottle/imagenet_50_224x224
ImageNet 50 (224x224) This is a randomly selected subset of ImageNet containing 50 categories, with 1,000 training samples and 100 validation samples per class.All images have been resized to 224×224 using the CenterCrop method. Each class has 50 validation samples taken from the original training set, which do not overlap with the 1,000 selected training samples. For details on how the dataset was generated, you can refer to the flow.ipynb notebook in the repository. The… See the full description on the dataset page: https://huggingface.co/datasets/SomeBottle/imagenet_50_224x224.
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feat: add data and workflow
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