Datasets › KoDF
KoDF (Korean DeepFake Detection Dataset)
The Korean DeepFake Detection Dataset (KoDF) is a large-scale collection of synthesized and real videos focused on Korean subjects, used for the task of deepfake detection.
The dataset consists of 62,166 real videos and 175,776 fake videos from 403 subjects. The fake videos are created using 6 different methods: FaceSwap, DeepFaceLab, FSGAN, FOMM, ATFHP and Wav2Lip.
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 27 papers for it but never published that list.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
Unknown
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- KoDF
1 variant name, as the archive lists them.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections