Meta Album is a meta-dataset created for few-shot learning, meta-learning, continual learning, AutoML, and more.
The Mini version contains 40 randomly selected examples for each class (hence the datasets are class-balanced).
Learn more about Meta-Album at https://meta-album.github.io/