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VGGFace2: A dataset for recognising faces across pose and age

Abstract:

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...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Accepted Manuscript

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Publisher copy:
10.1109/FG.2018.00020

Authors


Parkhi, OM More by this author
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Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
Oxford college:
Brasenose College
ORCID:
0000-0002-8945-8573
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Grant:
Intelligence Advanced Research Projects Activity (IARPA): contract number 2014-14071600010
Publisher:
Institute of Electrical and Electronics Engineers Publisher's website
Publication date:
2018-06-07
Acceptance date:
2018-01-25
DOI:
Pubs id:
pubs:867706
URN:
uri:abe79fff-9d75-4a5d-a8ca-4ae3ffca6356
UUID:
uuid:abe79fff-9d75-4a5d-a8ca-4ae3ffca6356
Local pid:
pubs:867706
ISBN:
9781538623350

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