{"url":"/dataset/dfdc","name":"DFDC","full_name":"Deepfake Detection Challenge","description_markdown":"The DFDC (Deepfake Detection Challenge) is a dataset for deepface detection consisting of more than 100,000 videos.\r\n\r\nThe DFDC dataset consists of two versions:\r\n\r\n- Preview dataset. with 5k videos. Featuring two facial modification algorithms.\r\n- Full dataset, with 124k videos. Featuring eight facial modification algorithms\r\n\r\nSource: [The Deepfake Detection Challenge (DFDC) Preview Dataset](/paper/the-deepfake-detection-challenge-dfdc-preview)","description_withheld":null,"homepage":"https://deepfakedetectionchallenge.ai/","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/the-deepfake-detection-challenge-dfdc-preview","title":"The Deepfake Detection Challenge (DFDC) Preview Dataset","first_author":"Brian Dolhansky","url":null},"license":{"name":"Custom","url":"https://ai.facebook.com/datasets/dfdc/"},"modalities":[{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[{"name":"DeepFake Detection","url":"/task/deepfake-detection","datasets_with_task":"/datasets/task/deepfake-detection"},{"name":"Face Swapping","url":"/task/face-swapping","datasets_with_task":"/datasets/task/face-swapping"},{"name":"Misinformation","url":"/task/misinformation","datasets_with_task":"/datasets/task/misinformation"}],"languages":[],"variants":["DFDC"],"data_loaders":[{"repo":"https://github.com/jckspro/deepfake","url":"https://github.com/jckspro/deepfake","frameworks":["tf","pytorch"]}],"num_papers_in_archive":126,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/deepfake-detection-on-dfdc","task":"DeepFake Detection","dataset_variant":"DFDC","rows":3,"metrics":["AUC","LogLoss"],"first_row_in_archive_order":{"model":"Cross Efficient Vision Transformer","paper":"/paper/combining-efficientnet-and-vision","metrics":{"AUC":"0.951"},"code_links":[{"title":"davide-coccomini/Combining-EfficientNet-and-Vision-Transformersfor-Video-Deepfake-Detection","url":"https://github.com/davide-coccomini/Combining-EfficientNet-and-Vision-Transformersfor-Video-Deepfake-Detection"},{"title":"davide-coccomini/Combining-EfficientNet-and-Vision-Transformers-for-Video-Deepfake-Detection","url":"https://github.com/davide-coccomini/Combining-EfficientNet-and-Vision-Transformers-for-Video-Deepfake-Detection"},{"title":"davide-coccomini/mintime-multi-identity-size-invariant-timesformer-for-video-deepfake-detection","url":"https://github.com/davide-coccomini/mintime-multi-identity-size-invariant-timesformer-for-video-deepfake-detection"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/combining-efficientnet-and-vision","title":"Combining EfficientNet and Vision Transformers for Video Deepfake Detection","date":"2021-07-06","rows_on_this_dataset":2,"code_links":3,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":14,"samples_ran":7,"samples_unverified":7,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/video-face-manipulation-detection-through","title":"Video Face Manipulation Detection Through Ensemble of CNNs","date":"2020-04-16","rows_on_this_dataset":1,"code_links":3,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":3,"samples_ran":1,"samples_unverified":2,"pointer_only_for_licence":3,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":2,"samples_harvested":17,"samples_ran":8,"samples_unverified":9,"pointer_only_for_licence":3,"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."}