A collection of images for face anti-spoofing detection tasks. The dataset is hosted on Kaggle. Its specific size, creation date, and author are unknown.
Use Cases
- Training an object detection model to locate faces in images (inferred from domain, verify after download)
- Developing a classifier to distinguish between real faces and presentation attacks (inferred from domain, verify after download)
- Benchmarking the performance of the YOLOv11 architecture on biometric security tasks (inferred from domain, verify after download)
Strengths
- Published on Kaggle, a platform with established data sharing infrastructure.
Limitations
- Metadata is minimal; actual content requires verification after download.
- Row count, file formats, and column definitions are unknown, which limits suitability assessment.
- Data may reflect temporal or source bias inherent to its unspecified collection method.