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They are tensorflow shapes and labels. (None, 32, 32, 3), (None, 1) Training is 100k images Verification is 10k images.
https://github.com/tensorflow/datasets
Use this instead.
I think the labels are int64.
You can check and verify the integrity if you want, and I'd advise it. They are a direct copy of tiny imagenet 200 classes, the training and validation images prepared and separated already.
I've found better sources of them, so I wouldn't advise using this. It is available to all though.
I built this before realizing there was a large dataset repo devoted to image datasets. So it IS here, but I doubt anyone wants it. I've been using it.
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