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AxonData/age-estimation-minors-face-dataset

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Hugging Face2026-04-03 更新2026-04-12 收录
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https://hf-mirror.com/datasets/AxonData/age-estimation-minors-face-dataset
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--- license: cc-by-nc-4.0 task_categories: - image-classification tags: - age-estimation - age-detection - face-recognition - biometric - selfie - minors - age-verification - age-assurance - age-gating - age-prediction - COPPA pretty_name: "Face Age Detection: 10K Consented Selfies (10-30)" size_categories: - 10K<n<100K --- **10,000+ selfies | Verified age labels | 10-30 years | Multi-ethnic** ## The Problem New age-gating laws (COPPA 2.0, EU DSA, Australia Social Media Act) require apps to detect whether a user is under 18. Existing public face datasets don't solve this — UTKFace covers 0-116 with sparse teen coverage, IMDB-WIKI has noisy labels, MORPH is 80% one ethnicity ## The Solution This dataset targets the exact age range where models fail most: **10 to 30 years old**. Every image has a verified ground-truth age label, captured on real phones, with full legal consent including guardian signatures for minors ## Key Numbers | | | |---|---| | **Total images** | 10,000+ | | **Age range** | 10-30 (per-year folders) | | **Ethnicities** | Black, Caucasian, Hispanic | | **Capture device** | Smartphone front camera | | **Consent** | Full legal consent, guardian consent for minors | ![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F20109613%2F1911c8783f247fdcb115f56ceb1aef7c%2Fdataset_preview_age.png?generation=1775214156959812&alt=media) ## Labels `age` · `gender` · `ethnicity` ## Who Is This For - ML engineers building **under-18 age gates** for apps and platforms - Teams fine-tuning age estimation models on the **critical 13-25 segment** - Companies needing **consented, commercially licensable** face data - Researchers evaluating **demographic bias** in age prediction ## Full dataset with commercial license available at [Axon Labs](https://axonlab.ai)
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AxonData
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