FFIW10K Face Forgery Dataset

FFIW10K was published in 2021 by researchers from the Computer Vision Laboratory of ETH Zurich, the Institute of Artificial Intelligence of Beihang University, and the University of Technology Sydney.Face Forensics in the Wild".

The data includes 10,000 high-quality fake videos collected from Youtube, with an average of three faces per frame. Each video contains real faces and fake faces, which is closer to realistic and complex scenes. The manipulation process is fully automatic and controlled by a domain adversarial quality assessment network, making the dataset highly scalable and low-manpower.

To download the dataset, please visitOriginal release linkFill out the form to apply.