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VGGFace2
创建来自Hello Dataset
概要
代码
活动

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

🎉感谢Hello Dataset的贡献
数据集信息
应用场景Face
标注类型Box2DClassificationKeypoints2D
任务类型暂无
LicenseCC BY-SA 4.0
更新时间2021-03-24 22:48:43
数据概要
数据格式Image
数据数量0
已标注数量0
文件大小37MB
版权归属方
Visual Geometry Group
标注方
未知
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