Overview

VGGFace2 is a large-scale face recognition dataset. Images are downloaded from Google Image Search and have large variations in pose, age, illumination, ethnicity and profession.

• 9,000 +identities

VGGFace2 contains images from identities spanning a wide range of different ethnicities, accents, professions and ages.

• 3.3 million +faces

  All face images are captured "in the wild", with pose and emotion variations and different lighting and occlusion conditions.

• 362 ~per-subject samples

  Face distribution for different identities is varied, from 87 to 843, with an average of 362 images for each subject.

Citation

Please use the following citation when referencing the dataset:

@inproceedings{cao2018vggface2,
  title={Vggface2: A dataset for recognising faces across pose and age},
  author={Cao, Qiong and Shen, Li and Xie, Weidi and Parkhi, Omkar M and Zisserman, Andrew},
  booktitle={2018 13th IEEE International Conference on Automatic Face \& Gesture Recognition
(FG 2018)},
  pages={67--74},
  year={2018},
  organization={IEEE}
}