This is the dataset proposed in our paper Scaling Laws for Deepfake Detection.
ScaleDF is the largest dataset in the deepfake detection domain to date. It contains over 5.8 million real images from 51 different datasets (domains) and more than 8.8 million fake images generated by 102 deepfake methods.
Using ScaleDF, we observe power-law scaling similar to that shown in large language models (LLMs). Specifically, the average detection error follows a predictable… See the full description on the dataset page:
https://huggingface.co/datasets/WenhaoWang/ScaleDF.
