VGGFace2
Vggface2: A dataset for recognising faces across pose and age
ImagesIntroduced 2017-10-23
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. VGGFace2 contains images from identities spanning a wide range of different ethnicities, accents, professions and ages. All face images are captured "in the wild", with pose and emotion variations and different lighting and occlusion conditions. Face distribution for different identities is varied, from 87 to 843, with an average of 362 images for each subject.
Benchmarks
Related Benchmarks
VggFace2/3D/PSNRVggFace2/3D Face Modelling/PSNRVggFace2/3D Face Reconstruction/PSNRVggFace2/Face Reconstruction/PSNRVggFace2/Facial Recognition and Modelling/PSNRVggFace2/Image Generation/PSNRVggFace2/Image Inpainting/PSNRVggFace2 - 8x upscaling/16k/PSNRVggFace2 - 8x upscaling/3D Object Super-Resolution/PSNRVggFace2 - 8x upscaling/Image Super-Resolution/PSNRVggFace2 - 8x upscaling/Super-Resolution/PSNR