Deepfake Datasets: Role and Practical Application
Deepfake datasets include real and synthesized media, which is necessary for training and testing anti-deepfake solutions.
Deepfake dataset is a collection of artificially synthesized media, which can include photo, video, and audio materials. Their origin was urged by the proliferation of deepfake media that represents a steadily growing social threat.
The Main Datasets Used for Deepfake Detection:
- UADFV
- DF-TIMIT
- FaceForensics++
- Google/Jigsaw DeepFake Detection Dataset
- Facebook DeepFake Detection Challenge Dataset (DFDC)
- Celeb-DF
- DeeperForensics 1.0
- WildDeepfake
- DF-Mobio
Sourse: https://antispoofing.org/Deepfake_Datasets:_Role_and_Practical_Application
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