CIFAR-100

The CIFAR-100 dataset consists of 60000 32×32 colour images in 100 classes, with 600 images per class. There are 500 training images and 100 testing images per class. There are 50000 training images and 10000 test images. The 100 classes are grouped into 20 superclasses. There are two labels per image – fine label (actual class) and coarse label (superclass).

Source: Hugging Face Hub (renumics/cifar100-enriched). Metadata imported from the dataset’s Hub tags.