Augmented Alzheimer MRI Dataset

The Face Mask Dataset for Facial Recognition contains over 11,100 video recordings of individuals wearing latex masks, captured across 5 different devices. This dataset is specifically designed to develop liveness detection algorithms, which improve anti-spoofing capabilities in biometric security systems.

Key Features of the Dataset:

• 11,100+ Video Recordings: This large collection includes videos of individuals wearing latex masks to simulate spoofing attacks on facial recognition systems.
• Diverse Settings and Subjects: The videos capture various environments and individuals with different characteristics, ensuring broad applicability and diversity.
• Multiple Devices: The dataset is recorded across 5 devices, improving the robustness of facial recognition models on different hardware platforms.
• Liveness Detection Focus: Aimed at improving liveness detection, this dataset helps prevent fraud and ensures secure biometric authentication.

This dataset is an essential resource for researchers and developers working to enhance biometric security and build more accurate, anti-spoofing facial recognition technologies.