AxonData/iBeta_Level_1_Paper_Mask_Attacks

iBeta Level 1认证数据集专注于在iBeta Level 1演示攻击检测（PAD）中测试的纸质面具攻击。该数据集包括多种纸质面具攻击的变体，用于训练AI模型以区分真实和伪造的面部数据，并满足iBeta认证的要求。数据集的关键特征包括40多名参与者的参与、iOS和Android手机上的视频捕捉、18,000多次纸质面具攻击、主动活体测试以及攻击的多种变体。潜在的应用场景包括活体检测、iBeta活体测试、反欺骗、生物识别认证以及机器学习和深度学习研究。

The iBeta Level 1 Certification Dataset focuses on paper mask attacks tested during iBeta Level 1 Presentation Attack Detection (PAD). This dataset includes multiple variations of paper mask attacks for training AI models to distinguish between real and spoofed facial data, and it is tailored to meet the requirements for iBeta certifications. Key features include over 40 participants, video capture on iOS and Android phones, over 18,000 paper mask attacks, and active liveness testing. Potential use cases include liveness detection, iBeta liveness testing, anti-spoofing, biometric authentication, machine learning, and deep learning.