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VGGFace2
2D Classification
Face
|...
许可协议: CC-BY 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

The VGGFace2 dataset is available to download for commercial/research purposes under a Creative Commons Attribution-ShareAlike 4.0 International License. The copyright remains with the original owners of the image. A complete version of the license can be found here.

数据概要
数据格式
image,
数据量
--
文件大小
63.16MB
发布方
Visual Geometry Group
Computer Vision group from the University of Oxford with Andrew Zisserman and Andrea Vedaldi.
| 数据量 -- | 大小 63.16MB
VGGFace2
2D Classification
Face
许可协议: CC-BY 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

The VGGFace2 dataset is available to download for commercial/research purposes under a Creative Commons Attribution-ShareAlike 4.0 International License. The copyright remains with the original owners of the image. A complete version of the license can be found here.

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