ForgeryNet

The ForgeryNet dataset is a very large dataset for real-world face forgery detection, with 2.9 million images, 221,247 videos and 15 forgery approaches.

Data and Resources

Cite this as

Yinan He, Bei Gan, Siyu Chen, Yichun Zhou, Guojun Yin, Luchuan Song, Lu Sheng, Jing Shao, Ziwei Liu (2024). Dataset: ForgeryNet. https://doi.org/10.57702/2x14i5yz

DOI retrieved: December 16, 2024

Additional Info

Field Value
Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.2407.14367
Author Yinan He
More Authors
Bei Gan
Siyu Chen
Yichun Zhou
Guojun Yin
Luchuan Song
Lu Sheng
Jing Shao
Ziwei Liu