A comprehensive collection of datasets designed for biometric system development and evaluation. The datasets are divided into two main categories, covering key areas of face recognition and liveness detection

• Face Recognition Datasets
  Datasets containing images and videos for training and testing face recognition models. They feature a wide range of variations in lighting, pose, age, and ethnicity to support the development of robust and accurate facial identification systems
• Liveness Detection Datatsets
  Datasets focused on training and evaluating systems to distinguish between real users and presentation attacks. These include liveness test datasets, iBeta face liveness datasets, and liveness attack datasets for spoof detection and security compliance