--- title: "iBeta Kids Dataset" description: "It is a child safety dataset featuring over 46,000 short video samples of children across different age groups, recorded under varied lighting, devices, and conditions.…" url: "https://unidata.pro/datasets/ibeta-kids/" date_modified: "2026-02-05T13:48:02+03:00" language: "en-US" --- It is a child safety dataset featuring over 46,000 short video samples of children across different age groups, recorded under varied lighting, devices, and conditions. It includes four main attack types: Real Person, 2D Mask, 3D Mask, and Replay, helping develop biometric systems that detect spoofing and ensure safe, accurate child identification. ## Dataset Structure ### The Numbers Section **Numbered list:** - **Number:** 45 600 — **Text:** Videos - **Number:** 60 — **Text:** People ### 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 system | | Data types | Video | | Tasks | Face recognition, Computer Vision | | Total number of files | 45 600 | | Number of files in a set | 976 | | Labeling | Metadata (ID, type of attack, background, device, lighting, angle, distance, features) | | Gender | Male, Female | | Number of attributes | 15+ | | Main types of attack | Real Person, 2D mask, 3D mask, Replay | **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:** - **Video on Slayder:** - **Video on Slayder:** - **Video on Slayder:** ### Circuit Diagram for Ibeta 2 **Section Title:** iBeta Kids Level 2 Dataset **Image of a cross-section:** ![](https://unidata.pro/wp-content/uploads/2025/10/scheme-ibeta-ibetakids_level-2.webp) ### Technical Specifications **Table with data:** | Characteristic | Data | | --- | --- | | Video Extensions | MP4 | | Video duration | 3-5 seconds | | Number of backgrounds | 4 | | Devices | Iphone, Samsung, Xiaomi Redmi | **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 ### LLM Languages **Section Title:** Statistics **List of Statistics:** - **Filter by:** Age/Gender — **GIF image:** Age/Gender — **Table with data:** | | Age/Gender | Count | % | | --- | --- | --- | --- | | | 11-12 boy | 7 | 11.67% | | | 11-12 girl | 8 | 13.33% | | | 13-14 girl | 8 | 13.33% | | | 13-14 boy | 7 | 11.67% | | | 7-8 girl | 8 | 13.33% | | | 7-8 boy | 7 | 11.67% | | | 9-10 girl | 8 | 13.33% | | | 9-10 boy | 7 | 11.67% | | | Grand Total | 60 | 100% | ### Statistics - Charts **Charts with Titles:** - **Shortcode:** [ays_chart id="67"] — **caption above the graph:** Gender Distribution - **Shortcode:** [ays_chart id='68'] — **caption above the graph:** Distance Distribution - **Shortcode:** [ays_chart id='71'] — **caption above the graph:** Device Distribution - **Shortcode:** [ays_chart id='72'] — **caption above the graph:** Type of Background - **Shortcode:** [ays_chart id="73"] — **caption above the graph:** Angle Distribution ### Dataset Use Cases - Slider **Industry Cards:** - **Industry:** Education — **Title:** Enhancing Security in Schools — **Text:** iBeta Kids Dataset is a valuable tool for enhancing child safety in schools through biometric recognition technology. Containing facial images of children across different age groups, it enables the development of secure identity verification systems. Schools can use this dataset to ensure safe access to buildings and sensitive areas, helping protect students and manage attendance while complying with privacy standards. - **Industry:** Online Platforms — **Title:** Creating Secure Online Spaces for Children — **Text:** For digital platforms targeting younger audiences, iBeta Kids Dataset offers a foundation for secure age verification systems. The dataset, which contains facial images of children from different age groups, enables the development of systems that verify a child’s identity before granting access to age-restricted content. This ensures a safer, more appropriate online environment, protecting children from harmful material and safeguarding their personal data. - **Industry:** Smart Home Technology — **Title:** Strengthening Child Safety in Smart Homes — **Text:** This dataset might help support secure child identification in smart homes, ensuring children’s safety by restricting access to sensitive areas. Using facial recognition technology, smart home systems can distinguish between family members and unauthorized individuals, preventing children from accessing dangerous spaces and enhancing overall security within the home. - **Industry:** Transportation — **Title:** Enhancing Child Safety in Transportation Systems — **Text:** iBeta Kids Dataset is essential for improving child safety in transportation. It supports the development of biometric systems that identify and track children in places like airports, train stations, and buses. This security technology ensures children are always accounted for, preventing misidentification and helping protect them from potential risks during travel. ### Fact **FAQs Heading:** FAQs **List of Questions:** - **Question:** How was the data collected? — **Answer:** The dataset was collected in a rented studio where subjects performed various biometric spoofing attempts (e.g., using 2D masks, 3D masks, or replay videos) in different lighting and camera angles. The data was recorded using smartphones from leading brands like iPhone, Samsung, and Xiaomi to capture realistic scenarios for identity verification systems. - **Question:** Does the dataset include diverse recording conditions? — **Answer:** Yes. The dataset includes recordings collected under a variety of lighting conditions, camera angles, facial expressions, and head movements. This diversity improves model robustness for face authentication, biometric verification, and computer vision applications involving children. - **Question:** Why is children’s biometric data important for AI models? — **Answer:** Children’s facial features change significantly with age, making adult face datasets insufficient for many applications. iBeta Kids Dataset enables researchers to build more accurate identity verification, face recognition, and age-aware biometric systems for younger users. - **Question:** Can I request a sample of the dataset before purchasing or downloading it? — **Answer:** Yes, Unidata offers free sample files of iBeta Kids Dataset for evaluation. You can inspect the video quality, metadata annotations, and attack scenarios to ensure the dataset meets your biometric or child safety needs. - **Question:** Is it unique data? — **Answer:** Yes. iBeta Kids Dataset contains unique video files and biometric scenarios, making it highly specialized for training biometric recognition systems focused on child safety and anti-spoofing technology. - **Question:** How are Unidata datasets licensed? — **Answer:** Unidata datasets follow a dual-licensing model: free samples are available for trial and evaluation, while the full dataset can only be purchased. This ensures you can assess the dataset’s compatibility with your biometric system or child safety project before making a full investment. - **Question:** Do Unidata datasets follow GDPR or other data privacy regulations? — **Answer:** Yes. All Unidata datasets comply with GDPR and other data protection regulations, ensuring that all personal and sensitive information is handled in accordance with legal and ethical standards. - **Question:** How are Unidata datasets stored? — **Answer:** Unidata securely stores all datasets on AWS cloud infrastructure, ensuring high availability and scalability. Our practices align with ISO 27001 and ISO 27701 standards, providing a secure environment for handling biometric data and ensuring the privacy of all collected information. - **Question:** How long does it take to receive the dataset? — **Answer:** Once you submit your request, Unidata will reach out to confirm details and finalize documentation. After payment and agreement, the = dataset will be delivered within 3 to 10 business days. [Full list of this site's AI-readable pages](https://unidata.pro/llms.txt)