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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… See the full description on the dataset page: https://huggingface.co/datasets/ud-medical/men-hair-loss-dataset.

sourceHugging Facecc-by-nc-nd-4.0updated 1y agoView on Hugging Face
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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](https://unidata.pro/datasets/hair-loss-in-men-segmentation-dataset/?utm_source=huggingface-med&utm_medium=referral&utm_campaign=men-hair-loss-dataset)

Dataset characteristics:

CharacteristicData
DescriptionPhotos of men with varying degrees of hair loss for segmentation tasks
Data typesImage
TasksClassification, Machine Learning
Number of images3,100
Number of files in a set4 images per person (image from the top + mask, image from front + mask)
Total number of people775
LabelingMetadata (gender, age, ethnicity)
AgeMin = 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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