Dataset comprises 3,500+ videos captured using 5 different devices, featuring individuals holding photo fixed on cylinder designed to simulate potential presentation attacks against facial recognition systems. It supports research in attack detection and improves spoofing detection techniques, specifically for fraud prevention and compliance with iBeta Level 1 certification standards.
By utilizing this dataset, researchers can enhance… See the full description on the dataset page:
https://huggingface.co/datasets/UniDataPro/3d-mask-attack.
