ud-medical/men-hair-loss-dataset

Hair Loss Segmentation Dataset - 3 100 images

The 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 learning algorithms for detecting hair disorders, evaluating hair restoration techniques, and training models for early diagnosis of alopecia. — Get the data

Dataset characteristics:

Characteristic	Data
Description	Photos of men with varying degrees of hair loss for segmentation tasks
Data types	Image
Tasks	Classification, Machine Learning
Number of images	3,100
Number of files in a set	4 images per person (image from the top + mask, image from front + mask)
Total number of people	775
Labeling	Metadata (gender, age, ethnicity)
Age	Min = 18, max = 80, mean = 45

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Dataset structure

• 1 — images of first person
• 2 — images of second person
• 3 — images of third person
• 4 — images of fourth person
• 5 — images of fifth person
• Hair Loss in Men Segmentation Dataset.csv —file contains metadata and labels for all individuals in the dataset.

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Similar Datasets:

1. Hair Loss Male Ludwig Scale
2. Female Hair Loss Dataset
3. Hair Loss in Women Segmentation Dataset

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