UMD Face

by Ankan Bansal,Anirudh Nanduri,Carlos Castillo,Rajeev Ranjan,Rama ChellappaUnknown

UMD Face

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. We provide human curated bounding boxes for faces. We also provide the estimated pose (yaw, pitch, and roll), locations of twenty-one keypoints, and gender information generated by a pre-trained neural network. In addition, we also release a new face verification test protocol based on batch 3. 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. Again, we also provide the estimated pose (yaw, pitch, and roll), locations of twenty-one keypoints, and gender information generated by a pre-trained neural network.

Dataset Attributes

Label SVG
TasksDetection, Keypoint Detection, Pose Estimation, Classification
Label SVG
CategoriesFaces, People, Facial Pose
Label SVG
SensorRGB Camera