YouTube Faces Dataset is a facial video database that is used to study the problem of unconstrained face recognition in videos. The dataset contains 3,425 videos from 1,595 subjects. The videos are all from YouTube, with about 2.15 videos for each subject. The shortest clip lasts 48 frames, the longest clip is 6,070 frames, and the average length of the clipped videos is 181.3 frames.

YouTube Faces Dataset was released by Tel Aviv University in Israel in 2011. The related papers include "Lior Wolf, Tal Hassner and Itay Maoz Face Recognition in Unconstrained Videos with Matched Background Similarity".