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Kids & Teens Aging Dataset (Ages 7-15)

Kids & Teens Aging Dataset contains 9,000 high-quality facial images of children and teenagers aged 7–15, designed for age estimation, facial recognition, and anti-spoofing research. This faces dataset provides annotated metadata including age and gender, making it ideal for training AI models on aging patterns and youth face analysis across diverse demographics.

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  • Photos
    9,000
  • People
    1000
  • Facial Recognition
  • Age Estimation
  • Re-identification
  • Security
  • Computer Vision

Kids & Teens Aging Dataset contains 9,000 high-quality facial images of children and teenagers aged 7–15, designed for age estimation, facial recognition, and anti-spoofing research. This faces dataset provides annotated metadata including age and gender, making it ideal for training AI models on aging patterns and youth face analysis across diverse demographics.

Get in touch Download sample
  • Facial Recognition
  • Age Estimation
  • Re-identification
  • Security
  • Computer Vision
  • Photos
    9,000
  • People
    1000

Dataset Info

Characteristic Data
Description Photos of children and teenagers for facial recognition tasks.
Data types Image
Tasks Face recognition, Computer Vision, Biometric Verification
Total number of images 9,000
Total number of people 1000
Number of files in a set 90
Labeling Only technical characteristics and metadata (age, gender, ethnicity)
Gender Female, male
Ethnicity Caucasian (40%), Asian (20%), African (40%)
Age 7-15
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Technical
Characteristics

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

Statistics

Distribution by ethnicity

Dataset Use Cases

  • Biometric Research

    Age Estimation Models for Youth Identification

    Kids & Teens Aging Dataset helps develop and evaluate age estimation algorithms using high-resolution facial images of individuals aged 7–15. It provides training data for identifying subtle facial features related to growth and aging, improving biometric recognition systems and ensuring accuracy in applications involving children and young adults.

  • AI Safety and Anti-Spoofing

    Enhancing Facial Anti-Spoofing Technology

    This anti-spoofing dataset supports research in secure facial recognition systems by training models to distinguish between real human faces and synthetic or replayed images. It enables developers to build safer authentication systems for children’s platforms, improving digital safety standards and compliance with human rights and privacy principles.

  • Social Media and Parental Safety Tools

    Protecting Children on Media Platforms

    AI models trained with this faces dataset can detect underage users on social media and video platforms like YouTube. By analyzing selfie images and age-related facial cues, it aids in moderating content exposure, ensuring child safety online, and supporting parental monitoring technologies.

  • Machine Learning Education

    Training Data for AI Model Development

    Researchers and students use this faces images dataset to explore machine learning methods for facial analysis, aging prediction, and emotion detection. It provides a balanced collection of labeled photos for experimentation, model evaluation, and algorithm benchmarking across different age groups and genders.

FAQs

What is included in this dataset?
The dataset consists of 9,000 JPG images of 1000 individuals aged 7–15 years old. The images were taken under varying conditions, genders, and ethnic groups — offering a diverse and balanced representation of human faces of different age groups.
What types of annotations are provided?
The dataset includes technical metadata annotations, such as age, gender, and ethnicity. These labels support the development of AI models that analyze facial characteristics, demographics, and aging patterns in children and young adults.
Can I request a sample of the dataset before purchasing or downloading it?
Yes, a free sample dataset is available for evaluation. It includes a small selection of images from different age groups, genders, and ethnicities so you can review image quality, labeling, and format before making a purchase.
How are Unidata datasets licensed?
Unidata datasets follow a dual-licensing model. Free samples are available for initial testing and trial purposes, while the full dataset is accessible exclusively through purchase for commercial or large-scale research use.
How long does it take to receive the dataset?
After submitting a purchase request, Unidata will confirm the details and provide documentation for signing. Once payment is processed, you’ll receive access to the Kids & Teens Aging Dataset within 3–10 business days via secure cloud delivery.
How are Unidata datasets stored?
Unidata securely stores all datasets on AWS cloud infrastructure, providing high availability and data security. Storage systems meet ISO 27001 and ISO 27701 standards, ensuring safe management of sensitive facial images and related metadata.
How long does it take to receive the dataset?
After submitting a purchase request, Unidata will confirm the details and provide documentation for signing. Once payment is processed, you’ll receive access to Kids & Teens Aging Dataset within 3–10 business days via secure cloud delivery.
Is this a real-world dataset or synthetic data?
Kids & Teens Aging Dataset is a real-world dataset, consisting of genuine facial images of children and teenagers.
Still have questions about using Unidata datasets? Read our user-guides

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