AxonData/ibeta-level-1-certification

iBeta Level 1 Dataset for Face Anti-Spoofing & Liveness Detection

A presentation attack dataset for iBeta Level 1 PAD certification preparation, built for face anti-spoofing, liveness detection, and biometric face recognition systems. The dataset contains 30,000+ attack videos covering all major Level 1 attack vectors: printed photo attacks, cutout paper masks, eyeholes masks, cylinder paper masks, photo masks worn by actors, and display-based replay attacks

What Is iBeta Level 1?

iBeta Level 1 is the entry-level PAD certification tier from iBeta Quality Assurance, an independent NIST-NVLAP-accredited testing laboratory. Level 1 testing evaluates whether face recognition systems can defeat the most common 2D presentation attacks: paper prints, cutouts, eyeholes masks, and basic display replays. iBeta Level 1 compliance is increasingly required for biometric authentication systems deployed in eKYC, fintech onboarding, banking, and identity verification

Dataset Description

The dataset combines two attack categories with separate participant pools:

• Paper-based attacks: 22,000+ videos from 85+ participants
• Replay attacks: 8,000+ videos from 2,500+ selfie contributors

Total: 30,000+ presentation attack videos designed for end-to-end face anti-spoofing model training and iBeta Level 1 PAD certification preparation

Key Features

• 22,000+ Paper Mask Attacks including print, cutout, eyeholes, cylinder-based volume effects, and 3D paper masks with structural elements (e.g., nose)
• 8,000+ Replay Clips with photos and videos replayed on smartphone (iOS/Android) and desktop monitor displays under varying brightness, distances, and angles
• Active Liveness Sequences - zoom-in and zoom-out phases to evaluate motion-based liveness detection
• Multi-Ethnic Demographics - balanced representation of Caucasian, Black, and Asian participants
• Multi-Device Capture - iOS and Android phones (multiple device models)

Full version of the dataset is available for commercial usage. Leave a request on our website Axonlabs to purchase the dataset 💰

For feedback and additional sample requests, please contact us!

Attack Type Variations

This dataset provides comprehensive coverage of iBeta Level 1 attack scenarios:

• Print and cutout paper attacks - flat printed photos and cutouts shaped to face contours
• Cylinder paper masks - printed photos shaped into cylinders to create volume effects
• 3D paper masks with structural facial elements (nose, etc.)
• Photo masks worn by actors with head and eye variations
• Smartphone replay attacks - photos/videos replayed on iOS and Android phone screens
• Monitor/laptop replay attacks - photos/videos replayed on desktop displays

Potential Use Cases

• iBeta Level 1 certification preparation - train face anti-spoofing models against all L1 attack vectors before formal testing
• APCER/BPCER threshold validation - measure Attack Presentation Classification Error Rate and Bona fide Presentation Classification Error Rate under ISO/IEC 30107-3
• Face recognition spoof robustness testing - evaluate production face recognition systems against paper and replay attacks
• eKYC and identity verification - prepare biometric authentication systems for fintech and banking deployment
• Cross-attack generalization research - analyze model performance across paper vs replay attack categories

Academic Reference

The canonical academic benchmarks for iBeta Level 1 attack vectors are the Idiap Print-Attack Database and Idiap Replay-Attack Database - foundational datasets from the Idiap Research Institute. This commercial dataset extends those research lines with significantly more participants (2,500+ vs Idiap's 50), modern smartphone capture, broader demographics, and direct iBeta certification mapping

Related Datasets by Axon Labs

• iBeta Level 2 Certification Dataset - 25,000+ videos for advanced 3D mask attacks (L2)
• iBeta Level 3 Dataset - high-fidelity rubber and resin masks for the strictest L3 testing
• Photo Print Attack Dataset - focused 2D photo print attacks
• Display Replay Attacks Dataset - display-based replay attacks
• Liveness Detection Dataset - comprehensive 11+ attack types in one dataset

About Axon Labs

Axon Labs builds biometric AI training datasets. We specialize in face liveness detection, face recognition, and voice anti-spoofing data for production identity verification, eKYC, fintech, and government applications

Commercial Access

Sample subset publicly available for evaluation. For full commercial dataset access, pricing, and licensing terms, contact sales@axonlabs.pro or visit axonlab.ai.

Contact and Feedback

We welcome your feedback! Feel free to reach out to us and share your experience with this dataset. If you're interested, you can also receive additional samples for free! 😊

Visit us at Axonlabs to request a full version of the dataset for commercial usage.