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Description
Over 9,000 facial images annotated with age group labels, designed for training machine learning models. The dataset contains 9,165 images sized at 200x200 pixels, organized into 8 age group classes. It was created by prithivMLmods and last updated on May 29, 2025.
Use Cases
Train age classification models based on annotated facial images.
Benchmark computer vision algorithms for demographic attribute recognition.
Develop and evaluate fairness in facial analysis systems based on age group labels.
Strengths
Contains 9,165 annotated images, providing a substantial volume for model training.
Images are consistently sized at 200x200 pixels, which may simplify preprocessing.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment.