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.