CelebA Face Attribute Dataset

CelebFaces (CelebA) Dataset is a large-scale face attribute dataset with more than 200k celebrity images, each of which is annotated with 40 attributes. The images in this dataset cover a large number of poses and backgrounds. The annotations of CelebA include 10,177 identities, 202,599 facial images, and 5 landmark locations.

This dataset was released by the Chinese University of Hong Kong in 2015, and the related paper is "Deep Learning Face Attributes in the Wild".