Photo Print Attacks Dataset
Check samples on Kaggle

Introduction
The Photo Print Attacks Dataset offers a specialized resource for enhancing Presentation Attack Detection (PAD) models, especially suited for assessing liveness detection. With over >3,000 unique individuals, this dataset is an invaluable asset for AI developers aiming to improve anti-spoofing capabilities. Used by both iBeta and NIST FATE, this dataset is structured to support advanced AI model training focused on detecting photo print attacks
Dataset summary
This dataset includes over >7,000 print photo attacks, featuring diverse participants with a balanced representation of gender and ethnicity. Each attack is captured in a 10-20 second video that meets standards for liveness detection, including high-quality imagery and realistic color to simulate authentic conditions
Source and collection methodology
The data collection process involved a large group of participants and carefully staged photo print attacks. Each attack video employs a zoom-in effect, as specified by NIST FATE, enhancing the AI’s ability to recognize print attacks versus live subjects. Flat photos were used to ensure accuracy, with no bending or skewing, providing a consistent, straight-on view of the camera
Use cases and applications
This dataset is ideal for developing and refining liveness detection models that need to reliably differentiate between genuine selfies and photo print attacks. It’s particularly beneficial for organizations working on facial recognition and biometric authentication, aiming to improve the accuracy of spoof detection in PAD systems
How industry leaders achieve superior liveness detection with our dataset
Fintech Company from Brazil: iBeta Level 1 Success
One of the largest fintechs in Brazil approached us to prepare an active biometric authentication system for iBeta Level 1 certification
Digital Bank from Vietnam: iBeta Level 2 success
Digital bank from Vietnam asked Axon Labs to prepare its anti-spoofing model in order to pass iBeta Level 2 on the first attempt, and the goal was achieved
Financial institution in LatAm: iBeta Level 1 & 2 Success
A leading financial infrastructure player in Latin America successfully obtained iBeta Level 1 and Level 2 certifications, relying on data provided by Axon Labs
Dataset features
- 3,000+ Participants: Engaged in the project
- Diverse Representation: Balanced mix of genders and ethnicities
- 3,000+ Photo Print Attacks: Executed on the participants
- This dataset can be integrated into bundles
Photo print attack description
- Each attack comprises of 10-20 sec. video with Zoom in effects
- High-quality photos with realistic colors
- No visible image borders during the Zoom-in phase
- Paper attacks conducted on flat photos with a straight view on the camera (not bent or skewed)
Other Datasets for iBeta 1:
Download information
A sample version of this dataset is available on Kaggle. Leave a request for additional samples in the form below
Dataset details
This dataset is specifically designed for assessing liveness detection algorithms, as utilized by iBeta and NIST FATE. It is curated to train AI models in recognizing photo print attacks targeting individuals. These attacks encompass Zoom effects, as recommended by NIST FATE to enhance AI training outcomes
- >1K people
- 15-20 sec length of Print attacks
- High-quality photos with realistic colors
- Various capturing devices were used
Best is used for:
- Liveness detection
- Antispoofing attack detection
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 Paper
– 22,000+ videos
– 80+ participants
– zoom in and
zoom out
Replay Display attacks
– 5,000+ videos
– 1,000+ participants
– Balanced mix of genders and ethnicities
Photo Print Dataset
– 7000+ videos.
– 10-20 second each video
– Mix of genders
Silicone Mask Dataset
– 10 000+ videos
– 18 Silicone Masks
– iBeta Level 2
Liveness Detection