Photo Print Attacks Dataset
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Dataset summary
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Parameter
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Value
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Volume
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7,000+ photo print attack videos from 3,000+ unique participants
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Coverage
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Photo print presentation attacks for iBeta Level 1 PAD certification
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Demographics
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Adults aged 18–65, mixed gender, multi-ethnic
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Devices
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iOS and Android phones
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Conditions
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Indoor and outdoor, varied lighting, multiple print quality levels
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Introduction
The Photo Print Attacks Dataset offers 7,000+ presentation attack videos from 3,000+ unique participants, designed for training and validating liveness detection models against photo print spoofing, one of the most common 2D attack vectors tested in iBeta Level 1 certification. Each video is 10–20 seconds long and follows an active liveness protocol. This dataset has been used in both iBeta and NIST FATE (Face Analysis Technology Evaluation) testing pipelines. iBeta certification tests biometric systems against ISO/IEC 30107-3 – the international standard for biometric presentation attack detection
Dataset features
- Per-participant variation: Multiple attack scenarios per identity, not just one shot per person
- Active liveness sequences: 10–20 sec videos with zoom-in and zoom-out phases
- High-fidelity prints: Realistic skin tones and color reproduction
- Border-free presentation: Paper edges hidden during zoom phase to prevent edge-detection shortcuts
Source and collection methodology
We captured realistic photo print attacks using printed photographs of participants’ faces presented to front-facing smartphone cameras under varied conditions. Each clip follows an active liveness script (zoom-in/zoom-out, natural head turns/blinks) and lasts 10–20 seconds. 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 99.93% genuine
Use cases and applications
- Photo Print Attack Detection: Train presentation attack detection models specifically against printed photo spoofing, the most accessible and frequently attempted attack type in real-world fraud scenarios
- Liveness Detection Robustness: Improve liveness models’ ability to distinguish genuine selfies from static printed faces under varied lighting, print quality, and capture angles
- iBeta Level 1 Certification Preparation: Test your liveness system against realistic photo print attacks before submitting to iBeta Level 1 certification
- Multi-Platform Deployment Validation: Validate anti-spoofing performance across iOS and Android capture devices against standardized print attack vectors
iBeta Certification Success Stories
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
Other Datasets for iBeta 1:
Legal & Compliance
We prioritize data privacy, ethical AI development, and regulatory compliance. Our Silicone Mask Attack Dataset is collected and processed in full accordance with global data protection standards including GDPR, ensuring legality, security, and responsible AI practices
Download information
A sample version of this dataset is available on Kaggle. Leave a request for additional samples in the form below
Have a question?
We collect data from our internal team. All information is further verified by our specialists
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
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.
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
The price depends on your specific requirements. Please submit a request to receive a free consultation
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Didn't find what you were looking for?
Our collection includes many datasets for various requests
iBeta Level 1 Dataset
– 35,000+ videos
– 85+ participants
– zoom in and
zoom out
iBeta Level 2 Dataset
– 25 000+ videos
– 3D masks
– iBeta Level 2
iBeta Level 3 Dataset
– 10,000+ videos
– 12 Unique Masks
– iBeta Level 3
Display Replay Dataset for Liveness Detection
– 9,000+ videos
– 6,500+ participants
– Balanced mix of genders and ethnicities
