Kids & Teens Selfie Faces Dataset (Ages 5 – 15)
The dataset consists of 300 children and teenagers, with 20 selfie photos per person. The images feature a variety of facial poses and attributes.
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- Photos
- 6,000
-
- People
- 300
- Facial Recognition
- Age Estimation
- Re-identification
- Security
- Computer Vision
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- Photos
- 6,000
-
- People
- 300
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 | 6,000 |
Total number of people | 300 |
Number of files in a set | 20 selfies |
Labeling | Only technical characteristics and metadata (age, gender, ethnicity) |
Gender | 185 female (61.7%), 115 male (38.3%) |
Age | 5-15 (mean 10.8) |
attacks monthly
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Statistics
-
- Distribution by gender
Technical
Characteristics
Characteristic | Data |
Image Extensions | JPG |
Industries
Entertainment Industry
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Child-Friendly Filters & AR Effects:
Train safe and engaging augmented reality filters that are optimized for the facial features of children and teenagers.
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Content Moderation:
Aid in the development of tools designed to protect younger users from harmful content and interactions.
Security
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Age Verification Systems:
Train and calibrate models to accurately estimate age for compliance with age-restricted content and services (e.g., social media, online games).
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Parental Control Tools:
Power features that help ensure age-appropriate experiences and protect minors online.
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