Latex Mask Attack - 11,100+ videos

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 for developing liveness detection algorithms aimed at improving anti-spoofing capabilities in biometric security systems.

Key Features of the Dataset:

• 11,100+ Video Recordings: A large collection of videos featuring individuals wearing latex masks to simulate spoofing attacks on facial recognition systems.
• Diverse Settings and Subjects: The videos showcase various environments and individuals with different attributes, ensuring real-world applicability and diversity.
• Multiple Devices: Captured using 5 different devices, enhancing the robustness of facial recognition models across different hardware.
• Liveness Detection Focus: The dataset is intended for improving liveness detection, which is crucial for preventing fraud and ensuring secure biometric authentication.