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VGGFace2
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Jun 20, 2021 12:29 PM
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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}
}
🎉Many thanks to Graviti Open Datasets for contributing the dataset
Basic Information
Application ScenariosNot Available
AnnotationsNot Available
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LicenseCC BY-SA 4.0
Updated on2022-04-01 08:07:01
Metadata
Data TypeNot Available
Data Volume0
Annotation Amount0
File Size0.00B
Copyright Owner
Visual Geometry Group
Annotator
Unknown