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Kids Anti-Spoofing Dataset

Kids Anti-Spoofing Dataset provides 6,000 high-quality facial images of children aged 5–15 for face anti-spoofing and liveness detection tasks. This child safety dataset supports research in biometric systems, helping improve facial recognition accuracy, detect spoofing attacks, and build safer AI models for protecting kids in digital and identification environments.

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  • Images
    6 000
  • people
    300
Kids antispoofing dataset
  • Facial Recognition
  • Security
  • Anti-spoofing
  • Computer Vision
  • Machine Learning

Kids Anti-Spoofing Dataset provides 6,000 high-quality facial images of children aged 5–15 for face anti-spoofing and liveness detection tasks. This child safety dataset supports research in biometric systems, helping improve facial recognition accuracy, detect spoofing attacks, and build safer AI models for protecting kids in digital and identification environments.

Get in touch Download sample
  • Facial Recognition
  • Security
  • Anti-spoofing
  • Computer Vision
  • Machine Learning
  • Images
    6 000
  • people
    300

Dataset Info

Characteristic Data
Description Photos of children and teenagers for anti-spoofing tasks.
Data types Image
Tasks Face recognition, Computer Vision
Total number of files 6000
Number of files in a set 300
Labeling Metadata (ID, gender, age, ethnicity)
Age 5-15
Gender Male, Female
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Technical
Characteristics

Characteristic Data
Image Extension JPG
Source and collection methodology: Data was collected via crowdsourcing platforms.

Dataset Use Cases

  • Education Technology

    Protecting Students in Digital Classrooms

    Kids Antispoofing Dataset helps developers create safe authentication systems for online learning. By recognizing real student faces and filtering spoofing attempts, it prevents impersonation in virtual classes. Schools and EdTech providers use it to ensure verified participation, protect minors’ privacy, and build trusted digital education environments.

  • Consumer Electronics

    Securing Smart Devices for Families

    Manufacturers of tablets, smart toys, and cameras can use Kids Antispoofing Dataset to train facial recognition systems that can differentiate real child users from spoofed inputs. This helps design devices with built-in liveness detection, ensuring parental controls and privacy settings function safely and accurately.

  • Biometric Security

    Building Reliable Child Safety Systems

    Security firms use the Kids Antispoofing Dataset to design facial recognition tools that protect children from identity fraud and spoofing attacks. It includes real and fake samples—print, 2D mask, 3D mask, and replay—helping train systems to detect deceptive inputs and ensure secure access in public and private spaces.

  • Child Protection Technology

    Enhancing Safety in Digital Platforms

    Developers of child safety tools use this dataset to improve recognition systems that verify children’s identities during online interactions. Supporting accurate detection of spoofing attacks helps platforms prevent fake profiles, ensure safe digital access, and create environments where children can learn, play, and communicate securely.

FAQ

What is included in this dataset?
The dataset includes 6,000 facial images of children and teenagers aged 5–15 years, equally distributed by gender and ethnicity. Each image is stored in JPG format and contains metadata annotations describing the subject’s ID, age, gender, and ethnicity.
Can I request a sample of the dataset before purchasing or downloading it?
Yes, Unidata provides a free dataset sample for review. It includes a small portion of children’s face images with full metadata annotations, allowing you to evaluate the dataset’s image quality, labeling format, and anti-spoofing suitability before making a purchase.
What are the sources of data for Unidata datasets?
Unidata datasets are collected through controlled crowdsourcing platforms to ensure authenticity, consent, and diversity. Kids Anti-Spoofing Dataset includes ethically sourced facial images of children and teenagers, gathered under verified conditions that comply with privacy protection and data collection regulations.
How are Unidata datasets licensed?
Unidata datasets follow a dual-licensing model. Free samples are offered for testing and evaluation, while the complete datasets are available through purchase-only access for professional or commercial research applications.
Do Unidata datasets comply with GDPR or other data privacy regulations?`
Yes. All Unidata datasets comply fully with GDPR and relevant data protection laws. Data is collected through lawful and transparent means, and no personally identifiable information is disclosed, ensuring ethical AI dataset development.
How are Unidata datasets stored?
All datasets are securely stored on AWS cloud infrastructure, ensuring data reliability and availability. Unidata’s practices comply with ISO 27001 and ISO 27701 standards, guaranteeing robust information security and privacy management for sensitive data.
How long does it take to receive the dataset?
After submitting a request, Unidata will confirm your requirements and send the necessary documentation. Once the payment process is complete, the dataset is securely delivered within 3–10 business days through encrypted cloud access.
Is this a real-world dataset or synthetic data?
This is a real-world dataset, containing genuine images of children and teenagers captured in controlled settings.
Still have questions about using Unidata datasets? Read our user-guides

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