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license: cc-by-nc-4.0
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---
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license: cc-by-nc-4.0
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task_categories:
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- image-classification
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- image-feature-extraction
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language:
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- en
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tags:
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- biology
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- code
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size_categories:
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- 1K<n<10K
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---
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# Latex Mask dataset
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Anti spoofing dataset with Latex 3D mask attacks (4 000 videos) for iBeta 2
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## This is a demo version, full dataset is coming soon. Share with us your feedback and recieve additional samples for free!😊
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## Full version of dataset is availible for commercial usage - leave a request on our website [Axon Labs](https://axonlabs.pro/) to purchase the dataset 💰
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## Introduction
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Latex Mask 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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Successfull Spoofing attack on a Liveness test by [Duobango ](https://www.doubango.org/webapps/face-liveness/)
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## Why Latex Mask Data?
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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: ~4,000 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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- Main Applications: Preparation for iBeta Level 2 certification, Active and passive liveness for anti spoofing systems
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## Technical Specifications
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- File Format: Videos are formatted to be compatible with mainstream ML frameworks.
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- Resolution and Frame Rate: Tailored for high-resolution and optimal frame rates to capture quick mask placements.
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## Best Uses
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This dataset is ideal for entities striving to meet or exceed iBeta Level 2 certification. By integrating this dataset, organizations can greatly enhance the training effectiveness of anti-spoofing algorithms, ensuring a robust and accurate performance in practical scenarios.
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## Conclusion
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With its comprehensive features and simulation of real attack scenarios, the Latex Mask Biometric Attack Dataset is indispensable for anyone involved in developing and certifying facial recognition and liveness detection technologies. Utilize this dataset to strengthen your systems against the most deceptive digital security threats.
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