The CIFAR-10 and CIFAR-100 datasets are datasets of color images, containing 10 classes and 100 classes of images, respectively. Each image is 32-by-32 pixels in size, making them slightly larger than those from the MNIST dataset for handwritten digit recognition. In the CIFAR-100 dataset, classes are nested under 20 superclasses (such as trees, fish, and insects).