--- title: "iBeta Level 1 Dataset" description: "28,830+ videos 7 types of attacks PAD Level 1" url: "https://unidata.pro/datasets/ibeta-level-1-video-attacks/" date_modified: "2026-02-04T10:32:19+03:00" language: "en-US" --- The dataset supports biometric testing against presentation attacks and ensures compliance with iBeta Level 1 certification requirements for liveness detection and security quality assurance ## Dataset Structure ### The Numbers Section **Numbered list:** - **Number:** 35, 800 — **Text:** Videos - **Number:** 100% — **Text:** iBeta Level 1 Completion - **Number:** 8 — **Text:** Type of Attacks ### Tooltips 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 Information **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 Videos | 35,800 | | Number of actor | 50 | | Labeling | Only technical characteristics and metadata (age, gender, ethnicity) | | Gender | Male, Female | | Ethnicity | European (60%), Asian (20%), African (20%) | | Features | Bald, beard-mustache, makeup, scar, piercing, no features | | Age | 18-29 (44%), 30-49 (50%), 50+ (6%) | **Media Slider:** - **Video on Slayder:** - **Video on Slayder:** - **Video on Slayder:** - **Video on Slayder:** - **Video on Slayder:** - **Video on Slayder:** - **Video on Slayder:** - **Video on Slayder:** **Link to the sample:** [Download sample](https://drive.google.com/drive/folders/1vAE9jtZUnfA-f59Gqko0_rZyCp--5o3N?usp=sharing) ### LLM Languages **Section Title:** Statistics **List of Statistics:** - **Filter by:** Age Distribution — **GIF image:** Age Distribution — **Table with data:** | Age | Count | | --- | --- | | Under 18 | 0 | | 19 - 25 | 11456 | | 26 - 32 | 10024 | | 33 - 39 | 6444 | | 40 - 46 | 5012 | | 47 - 53 | 716 | | 54 - 59 | 716 | | 60 - 66 | 716 | | 67+ | 716 | ### Statistics - Charts **Charts with Titles:** - **Shortcode:** [ays_chart id='8'] — **caption above the graph:** Gender distribution - **Shortcode:** [ays_chart id='9'] — **caption above the graph:** Ethnicity distribution - **Shortcode:** [ays_chart id='16'] — **caption above the graph:** Resolution distribution - **Shortcode:** [ays_chart id='13'] — **caption above the graph:** Angle distribution - **Shortcode:** [ays_chart id='14'] — **caption above the graph:** Camera position - **Shortcode:** [ays_chart id='15'] — **caption above the graph:** Device distribution - **Shortcode:** [ays_chart id='10'] — **caption above the graph:** Monitor model - **Shortcode:** [ays_chart id='11'] — **caption above the graph:** Tablet model - **Shortcode:** [ays_chart id='12'] — **caption above the graph:** Laptop model ### Technical Specifications **Table with data:** | Characteristic | Data | | --- | --- | | Video extensions | mp4, MOV | | Video Resolutions | Min = 720x1280, Max = 2160x3840 | | Video duration | 5 second | | Number of backgrounds | 10 | | Devices | Samsung Galaxy A53, OPPO A18, iPhone 14, Apple iPad 10.2 and etc. | **Source and data collection methodology:** Source and collection methodology: Data was collected by Unidata team in a rented studio. ### Datasets by the 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 ### Fact **FAQs Heading:** FAQs **List of Questions:** - **Question:** Is this a real-world dataset or synthetic data? — **Answer:** iBeta Level 1 Dataset consists of real-world data captured from 50 actors, designed for biometrics testing, liveness detection, and attack detection in biometric systems. It supports face recognition, authentication solutions, and biometric evaluations, providing realistic scenarios for presentation attacks and spoofing attempts in research in the biometrics industry. - **Question:** How are the Unidata datasets licensed? — **Answer:** Unidata datasets are provided under a dual model: free dataset samples are available for testing and evaluation, while access to the full dataset is granted only upon purchase. - **Question:** How are Unidata datasets stored? — **Answer:** Unidata stores all datasets securely on AWS cloud infrastructure, ensuring high availability and scalability. Our storage and management practices are aligned with ISO 27001 and ISO 27701 standards, which guarantee compliance with internationally recognized information security and privacy management requirements. This approach provides a secure, reliable, and privacy-focused environment for handling data. - **Question:** Can I request a sample of this dataset before purchasing? — **Answer:** Yes. Unidata offers dataset samples so you can evaluate video quality, technical characteristics, and scenario diversity, including actor features, backgrounds, and resolutions, for biometrics testing, face recognition, and attack detection before making a purchase decision. - **Question:** Does our iBeta Level 1 Dataset meet SLA compliance standards? — **Answer:** Yes. Unidata iBeta Level 1 Dataset is fully SLA compliant, meeting strict standards for security, reliability, and biometric data integrity. It aligns with iBeta certification requirements, supporting biometric evaluations, liveness detection, and presentation attacks research. - **Question:** How long does it take to receive the dataset? — **Answer:** Once you submit a request, we will reach out to you to review the details and complete the necessary documents. After signing and payment, the iBeta Level 1 Dataset will be delivered within 3–10 days, allowing you to start biometrics testing, face recognition, liveness detection, and attack detection in biometric systems promptly. - **Question:** Do Unidata datasets follow GDPR or other data privacy regulations? — **Answer:** Yes. All datasets are curated in compliance with GDPR and applicable data protection laws. Data is collected from legally permissible sources to ensure ethical and lawful usage. - **Question:** How can this dataset help evaluate biometric security? — **Answer:** The dataset can be used to assess how effectively recognition systems respond to potential spoofing attempts. This makes it useful for biometric evaluations, security testing, quality assurance, and improving authentication systems that protect digital identities. - **Question:** How can companies use the dataset before biometric certification? — **Answer:** Companies can use the iBeta Level 1 Dataset as part of internal testing and pre-certification evaluation. Testing against representative presentation attack scenarios can help identify weaknesses before systems, devices, or biometric products undergo formal independent testing. ### Dataset Use Cases - Slider **Industry Cards:** - **Industry:** Financial Services — **Title:** Stronger Protection Against Identity Fraud — **Text:** Banks and fintech companies use the iBeta Level 1 Certification Dataset to improve biometric authentication systems. By testing recognition systems against presentation attacks, this biometric dataset helps institutions detect spoofing attempts before they compromise digital identity solutions. The liveness detection dataset supports secure transactions, strengthens trust in mobile banking, and aligns with certification processes for accredited biometrics. - **Industry:** Biometrics and Technology Industry — **Title:** Improving Biometric Security Solutions — **Text:** Technology companies and research teams rely on the iBeta Level 1 dataset for developing and validating recognition systems. The biometric data it provides allows testing capabilities for attack detection, liveness detection, and authentication solutions. By supporting iBeta certification requirements, the dataset helps refine recognition technology, reduce vulnerabilities in biometric systems, and drive innovation across the global biometrics industry. - **Industry:** Healthcare — **Title:** Controlled Access to Sensitive Records — **Text:** In healthcare, the iBeta dataset is applied to safeguard electronic health records and restrict access to authorized personnel. Through independent testing and biometrics evaluations, authentication systems learn to detect presentation attacks in real scenarios. This enhances patient privacy, improves compliance with quality assurance standards, and ensures biometric technology can reliably protect sensitive medical information. ### Video - Shorts **Link to the video:** https://www.youtube.com/watch?v=ppiB4qa5PxM&embeds_referring_euri=https%3A%2F%2Funidata.pro%2F&source_ve_path=MjM4NTE?controls=0 **Title:** About Dataset **Subheading:** iBeta Level 1 - Dataset Review ## Section heading: love us Our Clients Love Us ## List of Reviews - **Title:** Enterprise Document Automation — **Subheading:** Document AI Lead — **Description:** The dataset gave us strong value for both pilot and early-stage testing. We plan to broaden coverage as deployment scales. - **Title:** Identity Verification Lab — **Subheading:** Deputy Director — **Description:** The data was good. We passed PAD level 1 from iBeta. ## "Trust" section heading Why Companies Trust Unidata's Datasets ## Description of the "trust" section Share your project requirements, we handle the rest. 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