JamalLee/Omni-Fake-OOD
Omni-Fake-OOD Omni-Fake-OOD is the out-of-distribution benchmark split of Omni-Fake. Samples come from held-out generators and platforms not included in training, for measuring cross-domain generalization. It covers image, audio, video, and audio–video talking-head (AV-TH) with the same three-class labels as Omni-Fake-SET: real, fully synthetic, and tampered. Use together with Omni-Fake-SET (in-distribution training data). Paper: arXiv:2605.01638 Project page: Omni-Fake… See the full description on the dataset page: https://huggingface.co/datasets/JamalLee/Omni-Fake-OOD.
| Author / organization | JamalLee |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 1.3K (as reported by Hugging Face) |
| Likes | 1 |
| Created | 24 June 2026 |
| Last updated at source | 28 June 2026 |
Popularity, last 2 days
1,293 now (-77 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
Related papers
More from JamalLee
- JamalLee/Omni-Fake-SETDataset
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.