The paper introduces Celeb-DF, a new large-scale dataset for DeepFake forensics, which contains 5,639 high-quality DeepFake videos of celebrities. These videos are generated using an improved synthesis process, addressing the limitations of existing datasets that suffer from low visual quality and visual artifacts. The authors evaluate current DeepFake detection methods using Celeb-DF and other datasets, demonstrating that Celeb-DF poses a more challenging level of detection compared to existing datasets. The evaluation includes a comprehensive performance assessment of various DeepFake detection methods, highlighting the need for further improvements in detection algorithms. The paper also discusses the synthesis method used to generate the DeepFake videos, which includes enhancements such as improved resolution, color correction, and mask generation to reduce visual artifacts. The results show that while some detection methods achieve near-perfect performance on first-generation datasets, they still struggle with the high-quality DeepFake videos in Celeb-DF, indicating the ongoing challenges in DeepFake detection.The paper introduces Celeb-DF, a new large-scale dataset for DeepFake forensics, which contains 5,639 high-quality DeepFake videos of celebrities. These videos are generated using an improved synthesis process, addressing the limitations of existing datasets that suffer from low visual quality and visual artifacts. The authors evaluate current DeepFake detection methods using Celeb-DF and other datasets, demonstrating that Celeb-DF poses a more challenging level of detection compared to existing datasets. The evaluation includes a comprehensive performance assessment of various DeepFake detection methods, highlighting the need for further improvements in detection algorithms. The paper also discusses the synthesis method used to generate the DeepFake videos, which includes enhancements such as improved resolution, color correction, and mask generation to reduce visual artifacts. The results show that while some detection methods achieve near-perfect performance on first-generation datasets, they still struggle with the high-quality DeepFake videos in Celeb-DF, indicating the ongoing challenges in DeepFake detection.