Large-scale CelebFaces Attributes (CelebA) dataset

The Large-scale CelebFaces Attributes (CelebA) Dataset is a facial dataset developed by a team of researchers at the Chinese University of Hong Kong to help train and test computer vision applications such as facial analysis, facial recognition, and facial detection.

Released late 2015, the dataset consists of 202,599 images of over 10,000 mostly western celebrities, each annotated with 40 attributes such as moustache, beard, spectacles, and the shape of face and nose.

CelebA became a commonly used dataset and is seen to have helped make facial recognition and analysis tools more accurate. It has been referred to and cited in hundreds of academic studies and tests.