FaceForensics++
Source: https://github.com/ondyari/faceforensics
Structured fields
{
"archived": false,
"revision": {
"ref": "master",
"pinned": false
},
"checked_at": "2026-10-17T00:00:00.000Z",
"usefulness": "Forensics dataset of 1,000 original videos manipulated with four face-manipulation methods (Deepfakes, Face2Face, FaceSwap, NeuralTextures), with benchmark and download-by-request access; standard training/evaluation set for deepfake detection.",
"source_type": "dataset",
"availability": "available",
"source_owner": "Rossler et al. (per LICENSE)",
"next_check_at": "2026-11-16T00:00:00.000Z",
"known_limitations": [
"Sensitive content (face manipulation); old manipulation methods vs current generators.",
"Authors' institutional affiliation not verified."
],
"upstream_updated_at": "2022-12-08T01:43:11.000Z"
}Evidence claims
- [sourced_fact] README: 1000 original video sequences from 977 YouTube videos manipulated with four automated methods; additional FaceShifter and Deep Fake Detection Dataset hosted; access requires filling a Google form and receiving a download script. · locator: README intro and download section source
- [sourced_fact] Code license header is MIT-style (Copyright 2018 Rossler et al.); GitHub reports NOASSERTION; last push 2022-12-08. · locator: LICENSE header source
- [upstream_claim] Research review verdict at export: reviewed (as of 2026-10-17). Recorded by the research pipeline, not a hub review outcome; evidence.review stays unreviewed until an independent reviewer records one.
Rights
| component | license | hosting | redistribution | modification | training | Evidence and notes |
|---|---|---|---|---|---|---|
| code | unknown | unknown | unknown | unknown | unknown | License text resembles MIT but the repository license id was not asserted by GitHub; treat as unconfirmed. |
| dataset | unknown | unknown | unknown | unknown | unknown | Dataset access is by request via a form; terms of use were not read. Source videos are from YouTube, so third-party rights and consent apply. |