Celeb-DF: A New Dataset for DeepFake Forensics

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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.

Open Source OmniParseBench · by Datalab · Apache 2.0 Benchmark any document parser on tables, math, forms and handwriting. Yes/no tests per page across text, table and layout families. Score vendor parsers on the Hugging Face dataset or your own PDFs with score and predict primitives. ★ Star on GitHub Multi-column, rotated text, degraded scans · tagged by script and language github.com/datalab-to/omni_parse_bench Fork it · Add your parser

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

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Asif Razzaq is the CEO of Marktechpost AI Media Inc.. As a visionary entrepreneur and engineer, Asif is committed to harnessing the potential of Artificial Intelligence for social good. His most recent endeavor is the launch of an Artificial Intelligence Media Platform, Marktechpost, which stands out for its in-depth coverage of machine learning and deep learning news that is both technically sound and easily understandable by a wide audience. The platform boasts of over 2 million monthly views, illustrating its popularity among audiences.