Image / Education
Hair Loss Dataset - 6,020 Images for Classification and Segmentation tasks
Advertised by providerLicensing rights not independently verifiedPaid licence
Overview
Hair Loss Dataset - 6,020 Images for Classification and Segmentation tasks is an image dataset. The provider states a volume of 6,020 images. Typical applications include segmentation, medical imaging and clinical NLP. Relevant sectors: Education and Customer Service. The listing mentions polygons / segmentation and classification labels. It is offered as a paid dataset; pricing details are provided on request.
Primary applications
What the listing offers
- Stated volume of 6,020 images.
- Listing mentions polygons / segmentation, classification labels.
Overview The Hair Loss Dataset is a commercial medical imaging dataset produced by the provider, combining 6,020 labeled images of male and female patients across four sub-collections. It is designed to support machine learning models, deep learning algorithms, and artificial intelligence systems for hair loss detection, alopecia classification, scalp condition analysis, early diagnosis, and the development of hair restoration and hair transplantation solutions. Hair loss affects a significant portion of the global population — both males and females — across a wide range of age groups and ethnicities. Automated diagnosing of hair disorders using deep learning techniques and neural networks requires large, accurately annotated training datasets that reflect the full spectrum of conditions from early hair thinning to advanced baldness. This dataset addresses that need by consolidating multi-angle, multi-scale image data with structured metadata into a single resource. Dataset Composition The combined dataset includes 6,020 images collected from individuals of both sexes, covering different types of alopecia, scalp conditions, and hair density levels. The breakdown by sub-collection is as follows: 1. Male Hair Loss Dataset — 2,260 images for classification tasks, covering varying degrees of male hair loss including different stages of the Norwood–Hamilton scale 2. Men Hair Loss Segmentation Dataset — 3,100 images from 775 individuals, labeled for both alopecia classification and pix
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