Datasets › OpenForensics

OpenForensics

Introduced by Trung-Nghia Le et al. in OpenForensics: Large-Scale Challenging Dataset For Multi-Face Forgery Detection And Segmentation In-The-Wild30 Jul 2021 archive 2025-07-28

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.

Source: OpenForensics: Large-Scale Challenging Dataset For Multi-Face Forgery Detection And Segmentation In-The-Wild

Image source: https://arxiv.org/pdf/2107.14480v1.pdf

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 8 papers for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

No task tagged in the archive.

License archive 2025-07-28

Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • OpenForensics

1 variant name, as the archive lists them.

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