{"url":"/dataset/openforensics","name":"OpenForensics","full_name":null,"description_markdown":"OpenForensics is a large-scale dataset posing a high level of challenges that is designed with face-wise rich annotations explicitly for face forgery detection and segmentation. With its rich annotations, the OpenForensics dataset has great potentials for research in both deepfake prevention and general human face detection.\r\n\r\nSource: [OpenForensics: Large-Scale Challenging Dataset For Multi-Face Forgery Detection And Segmentation In-The-Wild](https://paperswithcode.com/paper/openforensics-large-scale-challenging-dataset)\r\n\r\nImage source: [https://arxiv.org/pdf/2107.14480v1.pdf](https://arxiv.org/pdf/2107.14480v1.pdf)","description_withheld":null,"homepage":"https://sites.google.com/view/ltnghia/research/openforensics/","introduced_date":"2021-07-30","introduced_date_note":null,"introduced_by":{"paper":"/paper/openforensics-large-scale-challenging-dataset","title":"OpenForensics: Large-Scale Challenging Dataset For Multi-Face Forgery Detection And Segmentation In-The-Wild","first_author":"Trung-Nghia Le","url":null},"license":{"name":"Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License","url":"https://creativecommons.org/licenses/by-nc-sa/3.0/"},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[],"languages":[],"variants":["OpenForensics"],"data_loaders":[],"num_papers_in_archive":8,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}