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# Latex Mask Dataset for Face Anti-Spoofing and Liveness Detection
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Anti spoofing dataset with Latex 3D mask attacks (
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## Full version of dataset is availible for commercial usage - leave a request on our website [Axon Labs](https://axonlab.ai/?utm_source=hugging-face&utm_medium=cpc&utm_campaign=profile&utm_content=profile_link) to purchase the dataset 💰
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This dataset is crucial for companies preparing to comply with iBeta Level 2 certification which requires anti-spoofing technologies. In today's digital security landscape, the Latex Mask Dataset serves as a critical resource for training Machine Learning (ML) models and advanced biometric techniques to detect spoofing attempts
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## Dataset Features
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- Dataset Size: ~
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- Active Liveness Features: Includes zoom-in and zoom-out to enhance training scenarios
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- Attributes: Different hairstyles, glasses, wigs and beards to enhance diversity
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- Variability: 2 office spaces, 2 home apartments and other in progress. 3 Types of Lighting: Low, Medium, Bright
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# Latex Mask Dataset for Face Anti-Spoofing and Liveness Detection
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Anti spoofing dataset with Latex 3D mask attacks (5,000 videos) for iBeta 2. The Biometric Attack Dataset offers a robust solution for enhancing security in liveness detection systems by simulating 3D latex mask attacks. This dataset is invaluable for assessing and fine-tuning Passive Liveness Detection models, an essential step toward achieving iBeta Level 2 certification. By integrating diverse realistic presentation attacks (PAD), this dataset significantly supports advancements in detecting biometric anti spoofing
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## Full version of dataset is availible for commercial usage - leave a request on our website [Axon Labs](https://axonlab.ai/?utm_source=hugging-face&utm_medium=cpc&utm_campaign=profile&utm_content=profile_link) to purchase the dataset 💰
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This dataset is crucial for companies preparing to comply with iBeta Level 2 certification which requires anti-spoofing technologies. In today's digital security landscape, the Latex Mask Dataset serves as a critical resource for training Machine Learning (ML) models and advanced biometric techniques to detect spoofing attempts
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## Dataset Features
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- Dataset Size: ~5,000 videos demonstrating various spoofing attacks; 15 high-detail latex masks
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- Active Liveness Features: Includes zoom-in and zoom-out to enhance training scenarios
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- Attributes: Different hairstyles, glasses, wigs and beards to enhance diversity
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- Variability: 2 office spaces, 2 home apartments and other in progress. 3 Types of Lighting: Low, Medium, Bright
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