Data · dataset · 2026
Self-Cropped FaceForensics++ Dataset for Face Fraud Detection
Listed in ScienceDB
The facial image data used in this study is based on the FaceForensics++ (FF++) public dataset (Rössler et al., 2019), which contains 1000 real videos and 4000 forged videos, covering five typical deep forgery methods (DeepFakes, Face2Face, FaceSwap, NeuralTextures, FaceShifter).
Description
We use the MTCNN (Multi-task Convolutional Neural Network) face detection algorithm to extract frames (with a sampling rate of 2 frames per second) from the FF++ videos and automatically crop the face region images.
All cropped face images are uniformly adjusted to 256×256 pixels.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.j00240.00096 ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.57760%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Image 75%
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.j00240.00096 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].local:field:earth-environmental | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:engineering | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:humanities | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[modality].local:modality:image | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license_text | source · scidb cn | connector:scidb_cn@1.0.0 | |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |