Yuezun Li1, Xin Yang1, Pu Sun2, Honggang Qi2 and Siwei Lyu1 1 University at Buffalo, State University of New York, USA 2 University of Chinese Academy of Sciences, China Github Paper Celeb-DF (v1)
@inproceedings{Celeb_DF_cvpr20,
author = {Yuezun Li and Pu Sun and Honggang Qi and Siwei Lyu},
booktitle = {IEEE Conference on Computer Vision and Patten Recognition (CVPR)},
title = {{Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics}},
address = {Seattle, WA, United States},
year = {2020}, }
Celeb-DF (v2) dataset contains real and DeepFake synthesized videos having similar visual quality on par with those circulated online. The Celeb-DF (v2) dataset is greatly extended from our previous Celeb-DF (v1), which only contains 795 DeepFake videos. To date, Celeb-DF includes 590 original videos collected from YouTube with subjects of different ages, ethic groups and genders, and 5639 corresponding DeepFake videos.
For more information about dowloading Celeb-DF (v2) dataset, see our Github。