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@article{DBLP:journals/corr/abs-1710-08092,
author = {Qiong Cao and
Li Shen and
Weidi Xie and
Omkar M. Parkhi and
Andrew Zisserman},
title = {VGGFace2: {A} dataset for recognising faces across pose and age},
journal = {CoRR},
volume = {abs/1710.08092},
year = {2017},
url = {http://arxiv.org/abs/1710.08092},
eprinttype = {arXiv},
eprint = {1710.08092},
timestamp = {Wed, 04 Aug 2021 07:50:14 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-1710-08092.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
README
关于超神经 Hyper.AI
关于数据集
- 数据集名称:VGG-Face2
- 发布机构:牛津大学工程科学系视觉几何组 Visual Geometry Group, Department of Engineering Science, University of Oxford
- 网址:http://www.robots.ox.ac.uk/~vgg/data/vgg_face/
- 大小:nan GB
- 简介:VGGFace2是一个大规模的人脸识别数据集,包含9131个人的面部。 图像从Google图片搜索下载,在姿势,年龄,照明,种族和职业方面有很大差异。该数据集于2015年由牛津大学工程科学系视觉几何组发布,相关论文为Deep Face Recognition。
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