CIFAR-FS Classification Image Dataset

CIFAR-FS stands for CIFAR100 few-shots, which is randomly extracted from the CIFAR-100 dataset using the same criteria used to generate miniImageNet. The dataset contains 100 categories, 600 images per category, and a total of 60,000 images.

On average, the similarity between categories is high, which is a challenge for the current state of the art. In addition, the image size is 32×32 pixels, and the limited native resolution makes the task more difficult while also allowing for rapid prototyping.