iBeta 3 High-Fidelity Dataset

iBeta 3 High-Fidelity Rubber Mask Dataset

There are 1,000+ videos from 7 High-Fidelity mask attacks tailored

for iBeta level 3 certification

Check samples on Kaggle

Dataset Summary

Parameter	Value
Volume	1,000+ videos with 7 high-fidelity rubber masks
Coverage	High-fidelity rubber mask attacks for iBeta Level 3 PAD certification
Demographics	7 mask identities across mixed gender and adult age range
Devices	iOS and Android phones
Conditions	Indoor capture across two locations and 80+ backgrounds, with natural, artificial, directional, and low-light conditions

Introduction

The iBeta 3 High-Fidelity Rubber Mask Dataset is an exclusive, actively expanding collection of advanced 3D rubber mask attacks built for iBeta Level 3 certification – the highest tier of biometric presentation attack detection testing. It contains 1,000+ videos across 7 premium high-fidelity rubber masks with active liveness sequences (head movements, blinking, zoom-in/zoom-out), designed for training, benchmarking, and pre-certification testing. iBeta Level 3 tests biometric systems against ISO/IEC 30107-3 – the international standard for biometric presentation attack detection at the highest assurance level, where APCER, BPCER, and ACER thresholds are tighter than at Levels 1 and 2

Dataset Features

Professional mask construction: All 7 masks manufactured to L3 certification realism standards
Per-mask attribute variation: Different hairstyles, glasses, and accessories, 40-50 combinations per mask
Active liveness sequences: Head movements, blinking, zoom-in and zoom-out per video
Selfie camera focus: All videos captured with front-facing cameras matching real KYC flows

Why this dataset?

Built for iBeta-3 difficulty. Active zoom-in/zoom-out prompts and high-fidelity PAD scenarios aligned to the newest certification level
First to market & growing. Our first iBeta-3 dataset, actively expanding—train today and stay ahead as standards evolve
State-of-the-art premium mask. An advanced rubber mask; we’re the first to release datasets of this kind and provide free samples

See the difference

We also have cloth/latex/silicone mask sets, but this one is far more detailed and realistic – built specifically to stress-test PAD at iBeta 3 difficulty

Source and collection methodology

We captured high-fidelity rubber mask attacks with front-facing cameras across 7 premium 3D masks under varied environments and lighting conditions. Each clip follows an active liveness script (head movements, blinking, zoom-in/zoom-out). Data collection complies with GDPR Article 9 for the processing of biometric data

Real-World Validation: Open Liveness Model Stress Test

To demonstrate the practical value of this dataset, we tested its samples against Doubango’s open-source face liveness model – a publicly available liveness detection SDK used as a reference implementation by anti-spoofing researchers and developers

Key result: Doubango’s liveness classifier rated the high-fidelity mask attack below as 86.85% genuine – failing to detect the spoof at the liveness layer. The attack was only flagged by Doubango’s secondary injection-detection module, not by liveness scoring itself

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

From Failed Attempt to Success: UK Fintech Passed iBeta 2

UK fintech invested in datasets from another vendor for iBeta 2 and failed. The gap analysis revealed critical missing attack vectors. They needed a solution fast

Double Success: E-KYC Startup Achieves iBeta 1 & 2

A US-based e-KYC startup needed to prove their facial recognition technology met the highest industry security standards. Their ambitious goal: pass iBeta 1 and 2 Certification

Technology company from Vietnam: iBeta Level 2 success

A Vietnam-based AI/Big Data firm coached by Axon Labs passed iBeta PAD Level 2 on the first try with 0% successful spoofs; the solution claims 99.9% face-recognition accuracy

Learn the iBeta 3 context

iBeta Level 3 introduces stricter requirements: mandatory active liveness (zoom in/out), realistic high-fidelity mask attacks, and tighter APCER/BPCER/ACER limits. For implementation details and a practical checklist, see our: iBeta Level 3 guide

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
For two masks, video recordings are available from the back camera, capturing multiple angles (close-up, far, left, and right)

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?

Where does the data come from?

We collect data from our internal team. All information is further verified by our specialists

What is the process?

Once your enquiry has been sent, we will contact you to discuss the details and complete the necessary paperwork. The timing of receiving the dataset depends on the specific request and additional requirements

Can you help us meet dataset disclosure requirements, GDPR and other regulatory controls?

Our unique selling point is to provide legally clean datasets to our customers. We obtain the consent from all the participants to use their data for AI model development. We are able to provide comprensive reporting on the licensing, data collection and privacy compliance of our datasets. Although there seems to be a diverse response to how to control AI development and deployment, we are able to service global customers seeking to launch global AI products.

What makes this dataset suitable for iBeta certification?

The dataset follows iBeta testing protocols and includes diverse attack scenarios that mirror real-world spoofing attempts. It covers both passive and active liveness testing requirements with proper demographic representation and standardized capture conditions essential for certification preparation

What is the price of the dataset?

The price depends on your specific requirements. Please submit a request to receive a free consultation

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iBeta 3 High-Fidelity Mask Dataset