WebFace260M

WebFace260M is a million-scale face benchmark, which is constructed for the research community towards closing the data gap behind the industry.

It consists of:

• Noisy 4M identities and 260M faces
• High-quality training data with 42M images of 2M identities by using automatic cleaning
• A test set with rich attributes and a time-constrained evaluation protocol