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iBeta Level 2 Dataset

The dataset validates biometric systems against advanced presentation attacks and supports successful compliance with iBeta Level 2 Presentation Attack Detection certification for liveness detection in security applications

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  • Videos
    32,300
  • iBeta Level 2 Completion
    100%
  • Types of Attacks
    6
  • Facial Recognition
  • iBeta
  • Liveness Detection
  • Security
  • Anti-spoofing
  • Computer Vision

The dataset validates biometric systems against advanced presentation attacks and supports successful compliance with iBeta Level 2 Presentation Attack Detection certification for liveness detection in security applications

Get in touch Download sample
  • Facial Recognition
  • iBeta
  • Liveness Detection
  • Security
  • Anti-spoofing
  • Computer Vision
  • Videos
    32,300
  • iBeta Level 2 Completion
    100%
  • Types of Attacks
    6

Dataset Info

Characteristic Data
Description Videos of people for training algorithms to detect attempts to hack biometric systems.
Data types Video
Tasks Face recognition, Computer Vision
Total number of files 32 300
Labeling Only technical characteristics and metadata (age, gender, ethnicity)
Gender Male, Female
Ethnicity Caucasian (90%), African (10%)
Number of attributes 31
Type of attack Real Person, 2D mask, 2D mask with eyeholes, latex mask, wrapped 3D mask, silicone mask
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iBeta Level 2 Dataset

Statistics

Attacks in the dataset
Gender of the unique people:
Ethnicity of the unique people:

Technical
Characteristics

Characteristic Data
Video Extensions mp4, MOV
Video Resolutions Min = 1920х1080, Max = 3840х2160
Video duration 4 second
Number of backgrounds 9
Video overlap No more than 5%
Devices Mi10s, Google Pixel 4, Samsung Galaxy A03s, iPhone 11, iPhone SE 2, etc.
Source and collection methodology: Data was collected via crowdsourcing platforms.

Dataset Use Cases

  • Financial Services

    Advanced Fraud Detection and Compliance

    The iBeta Level 2 Certification Dataset is essential for banks and fintech companies that require higher standards of biometric security. By training and testing authentication systems on complex presentation attacks, institutions strengthen their ability to prevent spoofing attempts before they lead to identity fraud. This liveness detection dataset supports certification processes, ensures alignment with accredited biometrics guidelines, and helps deliver safer digital identity solutions.

  • Biometrics and Technology Industry

    Strengthening Biometric Security Solutions

    For technology companies and research groups, the iBeta Level 2 dataset offers valuable biometric data for improving recognition technology and detection solutions. It allows developers to validate biometric systems, measure testing capabilities, and refine authentication solutions that resist increasingly sophisticated attack detection scenarios. By supporting ibeta certification requirements, the dataset drives innovation across the biometrics industry and reinforces independent quality standards for global biometric security.

  • Certification & Compliance Testing

    Supporting Accredited Quality Assurance

    The iBeta dataset is widely used in certification processes and independent testing to validate authentication solutions against level 2 requirements. Accredited laboratories rely on it to benchmark biometric evaluations and confirm independent quality. This ensures compliance with international standards and strengthens confidence in the biometrics industry.

FAQs

What is included in this dataset?
iBeta Level 2 Dataset consists of 32,300 videos featuring real persons and multiple attack types such as 2D masks, latex masks, silicone masks, and 3D masks. It includes male and female actors across diverse ethnicities (Caucasian 90%, African 10%), with annotations for age, gender, and technical attributes.
What is this dataset used for?
The dataset is designed for biometrics testing, face recognition, and computer vision tasks, especially for developing detection solutions against presentation attacks. It supports IBeta certification workflows, independent testing, and biometric evaluations for biometric security and authentication systems.
What formats and specifications are provided in this dataset?
Videos are delivered in MP4 and MOV formats with resolutions ranging from 1920×1080 to 3840×2160. Each video is around 4 seconds long, captured across 9 backgrounds using devices like iPhone 11, Google Pixel 4, Mi10s, and Samsung Galaxy A03s, ensuring independent quality and broad device coverage.
Is this dataset synthetic data or real-world data?
The iBeta Level 2 Certification Dataset contains real-world biometric data collected from actors under controlled conditions. It provides authentic facial images and biometric data for presentation attack detection, ensuring reliable quality assurance and compliance with accredited biometrics standards.
How are the Unidata datasets licensed?
Unidata datasets follow a dual-access model: free samples are provided for trial and testing, while complete datasets are available exclusively through purchase.
Do Unidata datasets follow GDPR or other data privacy regulations?
Yes. All datasets comply with GDPR and relevant data protection regulations. Information is sourced from lawful channels to guarantee ethical and responsible use.
How are Unidata datasets stored?
Unidata hosts all datasets on AWS cloud infrastructure, designed for reliability, scalability, and strong security. Our data handling complies with ISO 27001 and ISO 27701 standards, ensuring globally recognized levels of information security and privacy protection. This guarantees a secure and trustworthy environment for dataset storage and management.
Does the iBeta Level 2 Dataset meet SLA compliance standards?
Yes. The iBeta Level 2 Dataset is fully SLA compliant, ensuring it meets strict standards for security, reliability, and biometric data integrity. It supports IBeta certification, biometric evaluations, liveness detection, and presentation attacks testing in biometric systems and authentication solutions, aligning with industry best practices for the biometrics industry.
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