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.