--- title: "iBeta Level 2 Dataset" description: "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…" url: "https://unidata.pro/datasets/ibeta-level-2-video-attacks/" date_modified: "2026-02-03T13:44:05+03:00" language: "en-US" --- 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 ## Dataset Structure ### The Numbers Section **Numbers list:** - **Number:** 32,300 — **Text:** Videos - **Number:** 100% — **Text:** iBeta Level 2 Completion - **Number:** 6 — **Text:** Types of Attacks ### Tooltip Section **Tooltip items:** - **Name:** Facial Recognition - **Name:** iBeta - **Name:** Liveness Detection - **Name:** Security - **Name:** Anti-spoofing - **Name:** Computer Vision ### What is **The picture on the left:** ![](https://unidata.pro/wp-content/uploads/2025/10/girl.webp) **Image by ibeta:** ![iBeta Level 1, 2 with
100% Accuracy](https://unidata.pro/wp-content/uploads/2024/06/12-588.webp) **Section Title:** What is iBeta? **Section Description:** iBeta is a leading biometric testing lab, accredited with **ISO/IEC 17025** and certifying compliance with **ISO/IEC 30107.** Since 2018, iBeta Lab has certified over **200** companies, **17%** of all of these organizations **were Unidata’s clients.** ### Dataset Info **Table with data:** | 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 | **Media Slider:** - **Video on Slider:** - **Video on Slider:** - **Video on Slider:** - **Video on Slider:** - **Video on Slider:** - **Video on Slider:** - **Video on Slider:** - **Video on Slider:** - **Video on Slider:** **Link to the sample:** [Download sample](https://drive.google.com/drive/folders/1FIm6p5ICT5cXTOHjUcn1JI0blN-7yoDU) ### Circuit Diagram for Ibeta 2 **Section Title:** iBeta Level 2 Dataset **Image of a cross-section:** ![](https://unidata.pro/wp-content/uploads/2024/06/scheme-ibeta2.svg) ### LLm-languages **Section Title:** Statistics **List of Statistics:** - **Filter by:** Top 15 Attributes — **GIF image:** Top 15 Attributes — **Table with data:** | Attribute | Count | | --- | --- | | Without attributes | 2668 | | Glasses No. 2.1 | 632 | | Wig No. 1.1 | 575 | | Glasses No. 2.2 | 525 | | Glasses No. 2.3 | 509 | | Hood ¹6.1 | 450 | | Hat No. 4.1 | 443 | | Scarf No. 5.1 | 411 | | Hood No. 6.2 | 404 | | Beard No. 3.4 | 403 | | Wig No. 1.15 | 402 | | Wig No. 1.8 | 399 | | Hood ¹6.3 | 396 | | Beard No. 3.2 | 393 | | Cap No. 4.2 | 390 | ### Statistics - Charts **Charts with Titles:** - **Shortcode:** [ays_chart id='3'] — **caption above the graph:** Phone Model Distribution - **Shortcode:** [ays_chart id='7'] — **caption above the graph:** Background Type - **Shortcode:** [ays_chart id='4'] — **caption above the graph:** View Distribution - **Shortcode:** [ays_chart id='5'] — **caption above the graph:** Resolution Distribution ### Technical characteristics **Table with data:** | 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:** Source and collection methodology: Data was collected via crowdsourcing platforms. ### Datasets in Numbers **Section Title:** Unidata iBeta Datasets in Numbers **List of numbers in the top row:** - **Number:** 80+ — **description:** times purchased by enterprise clients - **Number:** 1.5 — **description:** datasets purchased per client - **Number:** 30+ companies — **description:** passed iBeta with our data **Subheading:** Fraud prevention & iBeta Certification success **The list of numbers in the second row:** - **Text/Numeric Data:** ~127K videos - **Text/Numeric Data:** ~17K images - **Text/Numeric Data:** 8 datasets **Meaning:** 17% **Brief Description:** of all iBeta certified companies are our clients ### Dataset Use Cases - слайдер **Industry Cards:** - **Industry:** Financial Services — **Title:** Advanced Fraud Detection and Compliance — **Text:** 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. - **Industry:** Biometrics and Technology Industry — **Title:** Strengthening Biometric Security Solutions — **Text:** 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. - **Industry:** Certification & Compliance Testing — **Title:** Supporting Accredited Quality Assurance — **Text:** 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. ### Fact **FAQs Heading:** FAQs **List of Questions:** - **Question:** What is this dataset used for? — **Answer:** 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. - **Question:** What formats and specifications are provided in this dataset? — **Answer:** 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. - **Question:** Is this dataset synthetic data or real-world data? — **Answer:** 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. - **Question:** How are the Unidata datasets licensed? — **Answer:** Unidata datasets follow a dual-access model: free samples are provided for trial and testing, while complete datasets are available exclusively through purchase. - **Question:** Do Unidata datasets follow GDPR or other data privacy regulations? — **Answer:** Yes. All datasets comply with GDPR and relevant data protection regulations. Information is sourced from lawful channels to guarantee ethical and responsible use. - **Question:** How are Unidata datasets stored? — **Answer:** 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. - **Question:** Does the iBeta Level 2 Dataset meet SLA compliance standards? — **Answer:** 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. - **Question:** Why is the iBeta Level 2 Dataset valuable for biometric security? — **Answer:** The iBeta 2 dataset helps developers examine how biometric systems respond to advanced spoofing attempts. This can strengthen authentication systems used for digital identity, access control, remote verification, and other security-sensitive applications. - **Question:** How can mask-based attack data improve facial recognition security? — **Answer:** Mask-based attack examples help liveness detection algorithms learn characteristics associated with artificial facial presentations. This can improve the ability of biometric systems to identify suspicious presentations before granting authentication. ## List of Parameters - **Title:** Tasks — **Description:** Face recognition, Computer Vision - **Title:** Labeling — **Description:** Technical characteristics and metadata (age, gender, ethnicity) - **Title:** Type of attack — **Description:** Real Person, 2D mask, 2D mask with eyeholes, latex mask, wrapped 3D mask, silicone mask - **Title:** Video extensions — **Description:** MP4, MOV - **Title:** Video resolutions — **Description:** Min = 1920х1080, Max = 3840х2160 [Full list of this site's AI-readable pages](https://unidata.pro/llms.txt)