3D Elastic Mesh Mask Face Anti-Spoofing Dataset

The 3D Elastic Mesh Mask Face Anti-Spoofing Dataset, available on Kaggle, is designed to enhance face anti-spoofing and liveness detection models by simulating low-cost 3D textile mask attacks.This dataset comprises over 3,000 video clips demonstrating attacks with more than 30 different nylon masks, tailored to meet iBeta Level 2 Presentation Attack Detection (PAD) standards.The videos capture various angles and lighting conditions, providing a diverse set of spoofing scenarios. The inclusion of high-quality 3D mesh masks allows for the evaluation of anti-spoofing systems against realistic and challenging attacks.Researchers and developers can utilize this dataset to train and test face recognition systems, ensuring robustness against sophisticated spoofing techniques. By incorporating this resource, advancements in liveness detection and presentation attack detection can be achieved, contributing to the development of more secure biometric authentication systems.

3D弹性网状面罩人脸反欺骗数据集（3D Elastic Mesh Mask Face Anti-Spoofing Dataset）可在Kaggle平台获取，其旨在通过模拟低成本3D织物面罩攻击，优化人脸反欺骗与活体检测模型。该数据集包含超过3000段视频片段，展示了30余种不同尼龙面罩发起的攻击，其构建符合iBeta二级呈现攻击检测（Presentation Attack Detection, PAD）标准。这些视频采集了不同角度与光照条件下的画面，涵盖了多样化的欺骗攻击场景。数据集纳入的高质量3D网状面罩，可用于评估反欺骗系统应对逼真且高挑战性攻击的能力。研究人员与开发者可借助该数据集训练、测试人脸识别系统，确保其能够抵御复杂的欺骗攻击手段。依托该数据集，可推动活体检测与呈现攻击检测领域的技术进步，助力构建更安全的生物特征认证系统。