The CIFAR-100 dataset (Canadian Institute for Advanced Research, 100 classes) is a subset of the Tiny Images dataset and consists of 60000 32×32 color images. The 100 classes in the CIFAR-100 are grouped into 20 superclasses. There are 600 images per class. Each image comes with a “fine” label (the class to which it belongs) and a “coarse” label (the superclass to which it belongs). There are 500 training images and 100 testing images per class.
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