UMDFaces is a face dataset divided into two parts:

• Still Images - 367,888 face annotations for 8,277 subjects.
• Video Frames - Over 3.7 million annotated video frames from over 22,000 videos of 3100 subjects.

Part 1 - Still Images

The dataset contains 367,888 face annotations for 8,277 subjects divided into 3 batches. The annotations contain human curated bounding boxes for faces and estimated pose (yaw, pitch, and roll), locations of twenty-one keypoints, and gender information generated by a pre-trained neural network.

Part 2 - Video Frames

The second part contains 3,735,476 annotated video frames extracted from a total of 22,075 for 3,107 subjects. The annotations contain the estimated pose (yaw, pitch, and roll), locations of twenty-one keypoints, and gender information generated by a pre-trained neural network.