KoDF (Korean DeepFake Detection Dataset)
Introduced by Kwon et al. in KoDF: A Large-scale 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.
Papers
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