Celeb-DF: A New Dataset for DeepFake Forensics

DeepFakes are AI-synthesized face-swapping videos which have currently become an emerging problem. A lot of AI labs and researchers are working on algorithms to detect DeepFake videos. But due to low visual quality and many artifacts, these video datasets don’t reflect the reality of DeepFake Videos circulated on the internet.

This DeepFake Forensics (Celeb-DF) dataset contains real, and DeepFake synthesized videos having similar visual quality on par with those circulated online. The Celeb-DF has 408 original videos collected from YouTube with subjects of different ages, ethnic groups, and genders, and 795 DeepFake videos synthesized from these real videos.

Paper: https://arxiv.org/pdf/1909.12962.pdf

Dataset: http://www.cs.albany.edu/~lsw/celeb-deepfakeforensics.html

Source: http://www.cs.albany.edu/~lsw/celeb-deepfakeforensics.html

Asif Razzaq is an AI Journalist and Cofounder of Marktechpost, LLC. He is a visionary, entrepreneur and engineer who aspires to use the power of Artificial Intelligence for good.

Asif's latest venture is the development of an Artificial Intelligence Media Platform (Marktechpost) that will revolutionize how people can find relevant news related to Artificial Intelligence, Data Science and Machine Learning.

Asif was featured by Onalytica in it’s ‘Who’s Who in AI? (Influential Voices & Brands)’ as one of the 'Influential Journalists in AI' (https://onalytica.com/wp-content/uploads/2021/09/Whos-Who-In-AI.pdf). His interview was also featured by Onalytica (https://onalytica.com/blog/posts/interview-with-asif-razzaq/).