---
title: "Kids & Teens Aging Dataset (Ages 7-15)"
description: "It contains 9,000 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…"
url: "https://unidata.pro/datasets/kids-teens-aging/"
date_modified: "2026-03-24T13:40:26+03:00"
language: "en-US"
---
It contains 9,000 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.

## Dataset Structure

### The Numbers Section

**Numbered list:**

- **Number:** 9,000 — **Text:** Photos
- **Number:** 1000 — **Text:** People

### Tooltips Section

**Tooltip items:**

- **Name:** Facial Recognition
- **Name:** Age Estimation
- **Name:** Re-identification
- **Name:** Security
- **Name:** Computer Vision

### Dataset Information

**Table with data:**

| 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 | 9 |
| Labeling | Only technical characteristics and metadata (age, gender, ethnicity) |
| Gender | Female, male |
| Ethnicity | Caucasian (40%), Asian (20%), African (40%) |
| Age | 7-15 |

**Media Slider:**

- **Image in the slider:** ![](https://unidata.pro/wp-content/uploads/2025/09/kids-aging-dataset-slider-scaled.webp)
- **Image in the slider:** ![](https://unidata.pro/wp-content/uploads/2025/09/kids-aging-dataset2-scaled.webp)

**Link to the sample:** [Download sample](https://drive.google.com/drive/folders/1iMCUQNGVY2gYCTvZFdaI12VyKFK7WtJX)

### Technical Specifications

**Table with data:**

| Characteristic | Data |
| --- | --- |
| Image Extensions | JPG |

**Source and data collection methodology:** Source and collection methodology: Data was collected via crowdsourcing platforms.

### Statistics - Charts

**Charts with Titles:**

- **Shortcode:** [ays_chart id='22'] — **caption above the graph:** Gender Distribution
- **Shortcode:** [ays_chart id='23'] — **caption above the graph:** Ethnicity / Region Distribution
- **Shortcode:** [ays_chart id='24'] — **caption above the graph:** Skin Tone Distribution

### Dataset Use Cases - Slider

**Industry Cards:**

- **Industry:** Biometric Research — **Title:** Age Estimation Models for Youth Identification — **Text:** 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.
- **Industry:** AI Safety and Anti-Spoofing — **Title:** Enhancing Facial Anti-Spoofing Technology — **Text:** 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.
- **Industry:** Social Media and Parental Safety Tools — **Title:** Protecting Children on Media Platforms — **Text:** 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.
- **Industry:** Machine Learning Education — **Title:** Training Data for AI Model Development — **Text:** 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.

### Fact

**FAQs Heading:** FAQs

**List of Questions:**

- **Question:** Does the dataset include diverse demographic groups? — **Answer:** 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.
- **Question:** What types of annotations are provided? — **Answer:** 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.
- **Question:** What makes this dataset different from general facial image datasets? — **Answer:** 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.
- **Question:** Can I request a sample of the dataset before purchasing or downloading it? — **Answer:** 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.
- **Question:** How are Unidata datasets licensed? — **Answer:** 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.
- **Question:** How long does it take to receive the dataset? — **Answer:** 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.
- **Question:** How are Unidata datasets stored? — **Answer:** 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.
- **Question:** How long does it take to receive the dataset? — **Answer:** 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.
- **Question:** Is this a real-world dataset or synthetic data? — **Answer:** Kids & Teens Aging Dataset is a real-world dataset, consisting of genuine facial images of children and teenagers.

## List of Parameters

- **Title:** Tasks — **Description:** Face recognition, Computer Vision, Biometric Verification
- **Title:** Labeling — **Description:** Technical characteristics and metadata (age, gender, ethnicity)
- **Title:** Total number of images — **Description:** 9,000
- **Title:** Total number of people — **Description:** 1000
- **Title:** Data type — **Description:** Image (JPG)

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