Dataset Zoo

Face Recognition Training Datasets

CASIA-Webface (10,575/494,414) [1]

baidu

dropbox

CelebA (10,177/202,599) [2]

UMDFace (8,277/367,888) [3]

VGG2 (9,131/3.31M) [4]

baidu

dropbox

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

baidu

dropbox

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

baidu

dropbox

Asian-Celeb (93,979 ids/2,830,146 images)[8] (Recommend)

baidu

dropbox

DeepGlint (86,876 ids/3,923,399 images from MS1M + Asian-Celeb) [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/