Meta Album is a meta-dataset created for few-shot learning, meta-learning, continual learning, AutoML, and more.
The Micro version is meant for quick experimentation. It only contains 20 randomly selected classes per datasets and 40 randomly selected examples for each class.
Learn more about Meta-Album at https://meta-album.github.io/