A biometric attack dataset for face anti-spoofing and recognition includes images and videos of genuine individuals presenting spoofs. The dataset was gathered by UniqueData using facial presentations. The dataset page was last updated on March 2, 2026.
Use Cases
- Train face anti-spoofing models based on the described images and videos of spoof presentations.
- Benchmark biometric attack detection systems based on the described dataset of real people and spoofs.
- Develop face recognition systems resilient to spoofing attacks based on the included video data.
Strengths
- Includes video data in addition to images, which may provide temporal information for spoof detection.
- The dataset page was updated on March 2, 2026, suggesting recent maintenance.
Limitations
- Description metadata is limited; actual data quality requires manual inspection after download.
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
Provenance
- Source
- UniqueData
- Collection Method
- Videos were gathered by capturing faces of genuine individuals presenting spoofs, using facial presentations.
- Freshness
- Last updated 2026-03-02 07:56:26; freshness should be verified.