Bald Men Dataset

Dataset comprises 3,100 images from 775 individuals, featuring male alopecia cases captured from two angles (front + top views) with corresponding segmentation masks. Designed for machine learning and deep learning models, this collection supports research in hair follicles analysis, hair density measurement, and scalp health evaluation.

By leveraging this dataset, researchers can improve learning algorithms for detecting hair disorders, evaluating hair restoration techniques, and training models for early diagnosis of alopecia. - Get the data

The inclusion of segmentation masks ensures accurate classification of hair textures, scalp conditions, and hair growth stages, making it invaluable for medical image analysis and AI-driven dermatology.

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Example for the dataset

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F27063537%2F94b27bc05225cb65e752c8df15803d84%2FFrame%203%20(1).png?generation=1751972352481372&alt=media" alt=""> Each participant contributes 4 images (original + mask pairs), enabling precise diagnosis of hair loss, hair thinning patterns, and treatment personalization.

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Bald Men Dataset

Dataset comprises 3,100 images from 775 individuals, featuring male alopecia cases captured from two angles (front + top views) with corresponding segmentation masks. Designed for machine learning and deep learning models, this collection supports research in hair follicles analysis, hair density measurement, and scalp health evaluation. By leveraging this dataset, researchers can improve learning algorithms for detecting hair disorders, evaluating hair restoration… See the full description on the dataset page: https://huggingface.co/datasets/UniDataPro/men-hair-loss-dataset.