3D Resin Mask Dataset for Liveness detection

3D Resin Mask Dataset for Liveness detection

There are 2,000+ videos from 5+ mask attacks tailored 

for iBeta level 3 certification

Check samples on Kaggle

Successfull Spoofing attack on a Liveness test by Doubango 

Dataset Summary

Parameter
Value
Volume
2,000+ videos with 5 custom-manufactured 3D resin masks
Coverage
High-fidelity 3D resin mask attacks for iBeta Level 3 PAD certification
Demographics
Adults, mixed gender, multi-ethnic
Devices
iOS and Android phones (3 models): iPhone 14 Pro, iPhone 12, Samsung S23
Conditions
Indoor office capture across 40+ backgrounds, with natural, artificial, directional, and low-light conditions

Introduction

The 3D Resin Mask Dataset is a specialized face anti-spoofing dataset featuring 5 custom-manufactured resin mask attacks, each 3D-printed to replicate a specific target identity at the highest level of realism, the attack class tested by iBeta Level 3 certification, the top tier of biometric presentation attack detection. With 40–50 attribute combinations per mask (hairstyles, accessories) and a dual-recording methodology, capturing both authentic face videos and corresponding resin mask attack videos of the same target individuals, this dataset provides precision-level training data for the most demanding PAD certification tier. iBeta Level 3 tests biometric systems against ISO/IEC 30107-3, the international standard for biometric presentation attack detection

Dataset Features

  • Custom-manufactured masks: Each of the 5 resin masks 3D-printed to replicate a specific target identity
  • Dual-recording methodology: Real face videos paired with mask attacks of the same individuals
  • 40–50 attribute combinations per mask: Different hairstyles and accessories across sessions
  • Active liveness sequences: Zoom-in, zoom-out, head tilts, and left/right rotation per video

Samples of video attacks:

Use cases and applications

iBeta Level 3 Certification Compliance: 

  • Helps to train the models for iBeta level 3 certification tests
  • Allows pre-certification testing to assess system performance before submission

Inhouse Liveness Detection Models: 

  • Used for training and validation of anti-spoofing models
  • Enables testing of existing algorithms and identification of their vulnerabilities against spoofing attacks

How companies achieved iBeta with us

Datasets like this contributed to 21% of companies that passed iBeta certification in 2025 – all Axon Labs clients

File format and accessibility

  • Format: Videos are optimized for compatibility with mainstream ML frameworks
  • Resolution and frame rate: Videos are high-resolution with frame rates calibrated for capturing quick and realistic mask placements, ensuring precise data for model training

Potential customisation options:

  • Filming videos attacks with targeted movements
  • Filming videos attacks for you on target devices (for example, webcams)
  • Using your SDK for custom attack scenarios spoofing your ML model
  • Use RGB and USB cameras to support diverse research and testing needs

Legal & Compliance

We prioritize data privacy, ethical AI development, and regulatory compliance. Our Replay Attack Dataset is collected and processed in full accordance with global data protection standards including GDPR, ensuring legality, security, and responsible AI practices

Sample dataset

A sample version of this dataset is available on Kaggle. Leave a request for additional samples in the form below

Have a question?

Delivery timing depends on your specific request and any additional requirements. Contact us for a tailored timeline

Yes. All data is collected with explicit written informed consent from every participant in compliance with GDPR Article 9, which governs the processing of biometric data. The dataset is licensed for commercial use in AI model training and iBeta certification preparation

Pricing depends on licensing scope and customization requirements. Submit a request through the form on this page for a free consultation and quote

The dataset targets iBeta Level 3 PAD certification - the highest tier of biometric presentation attack detection testing, where high-fidelity 3D masks must be reliably distinguished from real faces

For each of the 5 target individuals, we provide both authentic face videos and corresponding resin mask attack videos. This pairing enables direct real-vs-spoof comparison within a single identity - a methodology that supports contrastive model training and produces stronger liveness models than single-source datasets

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