Commercial

Kids & Teens Aging Dataset (Ages 7-15)

It contains 17,982 high-quality facial images of kids 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
    17,982
  • People
    1,998
  • Age
    7-15
kids teens aging dataset
  • Facial Recognition
  • Age Estimation
  • Re-identification
  • Security
  • Computer Vision
  • Facial Recognition
  • Age Estimation
  • Re-identification
  • Security
  • Computer Vision

It contains 17,982 high-quality facial images of kids 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.

  • Facial Recognition
  • Age Estimation
  • Re-identification
  • Security
  • Computer Vision
  • Photos
    17,982
  • People
    1,998
  • Age
    7-15

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 17,982
Total number of people 1,998
Number of files in a set 9
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

Gender Distribution
Ethnicity / Region Distribution
Skin Tone Distribution
Image

Before You Buy The Full Set

This dataset is available for AI stress testing. We run your model on it and report error rates per class, segment & condition, so you buy only the 5–30% that fixes the classes it missed.

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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

Does the dataset include diverse demographic groups?
Yes. The dataset includes participants from multiple ethnic backgrounds, including 40% Caucasian, 20% Asian, and 40% African, along with both male and female subjects. This diversity helps improve model generalization across different populations.
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.
What makes this dataset different from general facial image datasets?
Unlike general face datasets that primarily contain adults, this collection focuses exclusively on children and teenagers aged 7–15. Its multiple images per subject, demographic metadata, and emphasis on youth facial aging make it particularly valuable for age estimation, facial recognition, and biometric verification research.
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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