Age estimation face dataset: 10,000+ consented selfies of minors & young adults (10-30 years) with verified per-year age labels. Multi-ethnic, phone-captured. Built for under-18 age gating, age verification, and face recognition.
| Total images | 10,000+ |
| Age range | 10-30 (per-year folders) |
| Ethnicities | Black, Caucasian, Hispanic |
| Gender | Male, Female |
| Capture device | Smartphone front camera |
| Labels | age, gender, ethnicity |
| Format | JPEG images + CSV metadata |
| Consent | Full legal consent |
| Column | Description | Example |
|---|---|---|
file_name |
Image filename | age_14_0023.jpeg |
age_folder |
Age folder | age_14 |
age |
Verified age at capture | 14 |
gender |
Gender | female |
ethnicity |
Ethnicity | black |
Input: User selfie at app sign-up
Model: Age estimation (trained on this dataset)
Output: under_18 / over_18
Action: Block or allow access
Train binary classifiers or regression models that accurately detect whether a user is under 18. Dense per-year sampling around the 18-year boundary reduces false positives and false negatives where it matters most.
Fine-tune pretrained models (DEX, MiVOLO, AgeNet) on the 10-30 segment to reduce MAE in the range where public datasets underperform. Verified birth-year labels provide clean ground truth.
Build selfie-only age checks for platforms that need frictionless onboarding. No document upload required — the model estimates age directly from a phone-captured photo.
Test your existing age estimation model across ethnicities and genders using the structured metadata. Identify and fix demographic accuracy gaps before production deployment.
| Feature | This Dataset | UTKFace | IMDB-WIKI | MORPH | FG-NET |
|---|---|---|---|---|---|
| Age range | 10-30 | 0-116 | 0-100 | 16-77 | 0-69 |
| Focus on teens | Dense | Sparse | Sparse | None | Sparse |
| Label quality | Birth-year verified | Filename-parsed | Noisy/scraped | Verified | Verified |
| Ethnic diversity | 3 groups, balanced | 5 groups | Skewed | 80% one group | Limited |
| Consent | Full + guardian | None | None | Research only | Research only |
| Commercial license | Yes | No | No | No | No |
| Selfie-specific | Yes | Mixed | Web photos | Mugshot-style | Mixed |
This repository contains a descriprion only. For the samplee and full 10,000+ image dataset with commercial license:
- Browse samples on Kaggle or HuggingFace
- Request access at axonlab.ai
- Contact us at sales@axonlabs.pro
