VGGFace2: A dataset for recognising faces across pose and age
In this paper, we introduce a new large-scale face dataset named VGGFace2. The dataset contains 3.31 million images of 9131 subjects, with an average of 362.6 images for each subject. Images are downloaded from Google Image Search and have large variations in pose, age, illumination, ethnicity and profession (e.g. actors, athletes, politicians). The dataset was collected with three goals in mind: (i) to have both a large number of identities and also a large number of images for each identity...Expand abstract
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© 2018 by the Institute of Electrical and Electronics Engineers, Inc.
All Rights Reserved. This paper was presented at the 13th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2018).