The Silicone Mask Attack Dataset is designed to address security challenges in liveness detection systems through 3D silicone mask attacks. These presentation attacks are key for testing Liveness Detection at iBeta level 2 certification. The dataset significantly enhances the capabilities of liveness detection models
To ensure high variety, 8 silicone masks were created and used with different hair styles, clothes, face masks and glasses to shoot various attacks. Each attack is approximately 8 seconds long and includes head movements as well as blinking. The dataset is suited for both Active and Passive liveness detection
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