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prithivMLmods/Deepfake-Unfiltered-30K

Deepfake-Unfiltered-30K Deepfake-Unfiltered-30K is a Deepfake Quality Assessment model dataset designed to analyze the quality of deepfake images & videos. It evaluates whether a deepfake is of good or bad quality, where: 0 represents a bad-quality deepfake 1 represents a good-quality deepfake This classification serves as the foundation for training models on deepfake quality assessment, helping improve deepfake detection and enhancement techniques.… See the full description on the dataset page: https://huggingface.co/datasets/prithivMLmods/Deepfake-Unfiltered-30K.

sourceHugging Faceapache-2.0updated 1y agoView on Hugging Face
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