2D Masks with Eyeholes Attacks

The dataset comprises 11,200+ videos of people wearing of holding 2D printed masks with eyeholes captured using 5 different devices. This extensive collection is designed for research in presentation attacks, focusing on various detection methods, primarily aimed at meeting the requirements for iBeta Level 1 & 2 certification. Specifically engineered to challenge facial recognition and enhance spoofing detection techniques. By utilizing this dataset… See the full description on the dataset page: https://huggingface.co/datasets/UniDataPro/2d-masks-pad-attacks.

Liveness Detection Dataset

Dataset comprises 32,300 videos featuring 6 types of attacks, including Real Person, 2D masks, 2D masks with eyeholes, latex masks, wrapped 3D masks, and silicone masks, ensuring 100% iBeta Level 2 certification compliance. Designed for rigorous biometric testing and liveness detection*.- Get the data

  Dataset characteristics:

Characteristic Data

Description Videos of people for training algorithms to detect attempts to hack… See the full description on the dataset page: https://huggingface.co/datasets/ud-ibeta/iBeta-Level-2-Certification-Dataset.