Dataset Zoo

Face Recognition Training Datasets

CASIA-Webface (10K ids/0.5M images) [1]

baidu

dropbox

CelebA (10K ids/0.2M images) [2]

UMDFace (8K ids/0.37M images) [3]

VGG2 (9K ids/3.31M images) [4]

baidu

dropbox

MS1M-IBUG (85K ids/3.8M images) [5,6]

baidu

dropbox

MS1M-ArcFace (85K ids/5.8M images) [5,7] (Recommend)

baidu

dropbox

Asian-Celeb (94K ids/2.8M images)[8] (Recommend)

baidu

dropbox

DeepGlint (181K ids/6.75M images) [8] (Recommend)

baidu

dropbox

Face Recognition Validation Datasets

CFP-FP

AgeDB-30

LFW

CALFW

CPLFW

Face Recognition Image Test Datasets

MegaFace

IJB

TrillionPairs

Face Recognition Video Test Datasets

YTF

IQIYI

Reference

[1] Dong Yi, Zhen Lei, Shengcai Liao, Stan Z. Li. Learning Face Representation from Scratch. arXiv:1411.7923, 2014.

[2] Ziwei Liu, Ping Luo, Xiaogang Wang, Xiaoou Tang. Deep Learning Face Attributes in the Wild, ICCV, 2015.

[3] Bansal Ankan, Nanduri Anirudh, Castillo Carlos D, Ranjan Rajeev, Chellappa, Rama. UMDFaces: An Annotated Face Dataset for Training Deep Networks, arXiv:1611.01484v2, 2016.

[4] Qiong Cao, Li Shen, Weidi Xie, Omkar M. Parkhi, Andrew Zisserman. VGGFace2: A dataset for recognising faces across pose and age. FG, 2018.

[5] Yandong Guo, Lei Zhang, Yuxiao Hu, Xiaodong He, Jianfeng Gao. Ms-celeb-1m: A dataset and benchmark for large-scale face recognition. ECCV, 2016.

[6] Jiankang Deng, Yuxiang Zhou, Stefanos Zafeiriou. Marginal loss for deep face recognition, CVPRW, 2017.

[7] Jiankang Deng, Jia Guo, Stefanos Zafeiriou. Arcface: Additive angular margin loss for deep face recognition, arXiv:1801.07698, 2018.

[8] http://trillionpairs.deepglint.com/