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iBeta Kids Dataset

iBeta Kids Dataset 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.

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  • Videos
    46 080
  • Types of Attacks
    12
iBeta kids cover image
  • Facial Recognition
  • iBeta
  • Liveness Detection
  • Security
  • Anti-spoofing
  • Computer Vision

iBeta Kids Dataset 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.

Get in touch
  • Facial Recognition
  • iBeta
  • Liveness Detection
  • Security
  • Anti-spoofing
  • Computer Vision
  • Videos
    46 080
  • Types of Attacks
    12

Dataset Info

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 46 080
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

Technical
Characteristics

Characteristic Data
Video Extensions MP4
Video duration 3-5 seconds
Number of backgrounds 4
Devices Iphone, Samsung, Xiaomi Redmi
Source and collection methodology: Data was collected by Unidata team in a rented studio.

Dataset Use Cases

  • Education

    Enhancing Security in Schools

    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.

  • Online Platforms

    Creating Secure Online Spaces for Children

    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.

  • Smart Home Technology

    Strengthening Child Safety in Smart Homes

    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.

  • Transportation

    Enhancing Child Safety in Transportation Systems

    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.

FAQs

What is included in this dataset?
The dataset contains 46,080 video files with various attack types like 2D and 3D masks, real person attempts, and replay attacks. Each video is labeled with metadata including ID, attack type, device used, background, lighting, and angle, providing a rich source of training data for recognition algorithms.
Can I request a sample of the dataset before purchasing or downloading it?
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.
How was the data collected?
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.
Is it unique data?
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.
How are Unidata datasets licensed?
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.
Do Unidata datasets follow GDPR or other data privacy regulations?
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.
How are Unidata datasets stored?
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.
How long does it take to receive the dataset?
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.
Still have questions about using Unidata datasets? Read our user-guides

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Enterprise Document Automation

Document AI Lead

The dataset gave us strong value for both pilot and early-stage testing. We plan to broaden coverage as deployment scales.

Identity Verification Lab

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The data was good. We passed PAD level 1 from iBeta.

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