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VGGFace2
2D Box
Classification
2D Keypoints
Face
|...
License: CC BY-SA 4.0

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}
}

License

CC BY-SA 4.0

Data Summary
Type
Image,
Amount
--
Size
37.26GB
Provided by
Visual Geometry Group
Department of Engineering Science, University of Oxford.
| Amount -- | Size 37.26GB
VGGFace2
2D Box Classification 2D Keypoints
Face
License: CC BY-SA 4.0

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}
}

License

CC BY-SA 4.0

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