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Fair Forgery Detection (FairFD)

The Fair Forgery Detection (FairFD) dataset is a comprehensive racial bias evaluation benchmark for forgery detection, providing a large-scale dataset, fairness metrics, and unified protocols.

Data and Resources

Cite this as

Decheng Liu, Zongqi Wang, Chunlei Peng, Nannan Wang, Ruimin Hu, Xinbo Gao (2024). Dataset: Fair Forgery Detection (FairFD). https://doi.org/10.57702/6vs3w3p4

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 Decheng Liu
More Authors
Zongqi Wang
Chunlei Peng
Nannan Wang
Ruimin Hu
Xinbo Gao