Latex Mask Dataset for Face Anti-Spoofing

The Latex Mask Dataset for Face Anti-Spoofing, curated by AxonData, is a comprehensive collection designed to enhance the robustness of face recognition systems against spoofing attacks. This dataset comprises over 4,000 video clips demonstrating spoofing attempts using 3D latex masks, aligning with iBeta Level 2 Presentation Attack Detection (PAD) standards.The dataset captures diverse spoofing scenarios, including frontal and off-angle face presentations, varying lighting conditions, and different mask designs. It serves as a valuable resource for training and evaluating liveness detection models, facilitating the development of systems that can accurately distinguish between genuine and spoofed biometric inputs.Researchers and developers can utilize this dataset to advance the field of face anti-spoofing, contributing to the creation of more secure and reliable biometric authentication systems.

由AxonData整理的面部反欺骗乳胶面具数据集（Latex Mask Dataset for Face Anti-Spoofing），是一套旨在提升人脸识别系统对抗欺骗攻击鲁棒性的综合性数据集。该数据集包含超过4000段视频片段，展示了使用3D乳胶面具进行的欺骗攻击尝试，符合iBeta二级呈现攻击检测（Presentation Attack Detection, PAD）标准。该数据集涵盖了多样化的欺骗场景，包括正脸与偏角度面部呈现、不同光照条件以及多种面具设计。它可作为训练与评估活体检测模型的宝贵资源，助力开发能够精准区分真实生物特征输入与欺骗性生物特征输入的系统。研究人员与开发者可借助该数据集推动面部反欺骗领域的发展，助力构建更安全可靠的生物特征认证系统。