AxonData/iBeta-Level-2-Certification-Dataset

iBeta Level 2 PAD Anti-Spoofing (3D Masks) — Liveness Detection Training Dataset

Comprehensive biometric dataset for iBeta Level 2 liveness detection training and anti-spoofing research. Emphasis on 3D attacks (masks) and movements for Active liveness (zoom-in/zoom-out, micro-movements), high variability of devices and conditions, high diversity of subjects

Spoofing Attack Types:

• Silicone Mask Attacks
• Latex Mask Attacks
• Wrapped 3D Paper Mask Attacks
• Advanced Paper Mask Attacks
• Cloth 3D Face Mask Attacks

These reflect spoofing attack types commonly explored in iBeta PAD Level 2 test plans

Dataset Description:

• 25,000+ videos (~10 sec), multiframe
• Each attack is captured on iOS and Android phone
• Zoom in and zoom out phase for Active Liveness

Full version of dataset is availible for commercial usage - leave a request on our website Axonlabs to purchase the dataset 💰

Potential Use Cases:

Liveness detection: This dataset is ideal for training and evaluating liveness detection models, enabling researchers to distinguish between selfies and spoof attacks with high accuracy

iBeta liveness testing: This dataset is valuable for training and evaluating liveness detection models before applying to iBeta certifications, enabling researchers to distinguish between selfies and spoof attacks with high accuracy

##Technical Specifications • File Format: Videos are formatted to be compatible with mainstream ML frameworks

• Resolution and Frame Rate: Tailored for high-resolution and optimal frame rates to capture quick mask placements

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