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Commercial
Kids & Teens Aging Dataset (Ages 7-21)
The dataset was created for age estimation, age progression analysis, and facial aging studies in children and teenagers aged 7–21. This face image dataset includes photos annotated with the Monk Skin Tone (MST) scale, camera angle, whether the shot is a digital or physical (scanned) photo, accessories worn, blur, and background handling, alongside demographic metadata (gender, ethnicity, skin tone category).
-
- Photos
- 8,039
-
- People
- 536
- Facial Recognition
- Age Estimation
- Re-identification
- Security
- Computer Vision
- Facial Recognition
- Age Estimation
- Re-identification
- Security
- Computer Vision
The dataset was created for age estimation, age progression analysis, and facial aging studies in children and teenagers aged 7–21. This face image dataset includes photos annotated with the Monk Skin Tone (MST) scale, camera angle, whether the shot is a digital or physical (scanned) photo, accessories worn, blur, and background handling, alongside demographic metadata (gender, ethnicity, skin tone category).
- Facial Recognition
- Age Estimation
- Re-identification
- Security
- Computer Vision
-
- Photos
- 8,039
-
- People
- 536
Dataset Info
| Characteristic | Data |
| Description | Photos of children and teenagers for age progression analysis. Each photo is annotated with the Monk Skin Tone (MST) scale |
| Data types | Image |
| Tasks | Face recognition, Computer Vision, Biometric Verification |
| Total number of images | 8,039 |
| Total number of people | 536 |
| Number of files in a set | 14-15 |
| Labeling | Only technical characteristics and metadata (age, age_months, gender, ethnicity, skin, mst, camera_type, is_digital, accessories, blur, background_processing, people_on_the_background) |
| Gender | Female, Male |
| Ethnicity | Caucasian, Asian, African, Hispanic, South Asian, Middle Eastern |
| Skin tone category | Light, Medium, Brown, Dark |
| Age | 7-21 |
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Technical
Characteristics
| Characteristic | Data |
| Image extensions | JPG, PNG, webp 4 |
| Camera type | Back, Front |
Statistics
- Distribution by gender
- Distribution by ethnicity
- Distribution by skin tone
- Distribution by Monk Skin Tone
- Distribution by accessories (by photo, top values)
- Distribution by camera type
- Distribution by background processing (by photo)
Dataset Use Cases
FAQs
Can I request a sample of the Kids & Teens Aging Dataset before purchasing?
Yes, you can request a sample of the Kids & Teens Aging Dataset before purchasing the full collection. Free samples are available for trial and testing, allowing you to assess image quality, age labels, metadata structure, and suitability for your age estimation models.
What types of annotations are provided in this age estimation dataset?
The dataset provides technical metadata and demographic annotations, including age, age in months, gender, ethnicity, skin category, Monk Skin Tone (MST), camera type, and image characteristics. Additional fields include accessories, blur, background processing, whether people appear in the background, and whether an image is digital.
How many images and participants are included in the dataset?
The dataset contains 8,039 images from 536 individuals, with approximately 14–15 files per set.
What is the Monk Skin Tone scale, and how is it used in this dataset?
The Monk Skin Tone (MST) scale is a framework for categorizing skin tones, and the dataset description specifies that each photo is annotated using this scale. These annotations can support research into model performance across skin tones and help identify potential disparities in facial analysis and age estimation.
Which ethnic groups are represented in kids & teens aging dataset?
The dataset’s ethnicity metadata includes Caucasian, Asian, African, Hispanic, South Asian, and Middle Eastern categories.
How are Unidata datasets licensed?
Unidata datasets follow a dual-licensing model: free samples are provided for trial and testing, while complete datasets are available exclusively through purchase. This approach allows users to assess a dataset’s suitability before purchasing the full collection.
How are Unidata datasets stored?
Unidata stores all datasets securely on AWS cloud infrastructure, supporting high availability and scalability. Its storage and management practices are aligned with ISO 27001 and ISO 27701 standards for information security and privacy management.
How long does it take to receive the dataset?
After you submit a request, Unidata will contact you to review the requirements and complete the necessary documentation. Following signing and payment, the dataset will be delivered within 3–10 days.
Still have questions about using Unidata datasets?
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