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ud-medical/male-hair-loss-dataset

Male Hair Loss Dataset - 2 400+ images Dataset comprises medical images of scalps from five angles, labeled with seven classifications based on the Norwood-Hamilton scale, aiding in diagnosing hair losses and scalp conditions. Utilizing deep learning techniques, machine learning algorithms can analyze hair density, follicles, and hair growth patterns to improve accurate diagnosis of alopecia areata and other hair disorders. — Get the data Dataset characteristics:… See the full description on the dataset page: https://huggingface.co/datasets/ud-medical/male-hair-loss-dataset.

sourceHugging Facecc-by-nc-nd-4.0updated 1y agoView on Hugging Face
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Male Hair Loss Dataset - 2 400+ images

Dataset comprises medical images of scalps from five angles, labeled with seven classifications based on the Norwood-Hamilton scale, aiding in diagnosing hair losses and scalp conditions. Utilizing deep learning techniques, machine learning algorithms can analyze hair density, follicles, and hair growth patterns to improve accurate diagnosis of alopecia areata and other hair disorders. — [Get the data](https://unidata.pro/datasets/hair-loss-male-norwood-scale/?utm_source=huggingface-med&utm_medium=referral&utm_campaign=male-hair-loss-dataset )

Dataset characteristics:

CharacteristicData
DescriptionPhotos of people with varying degrees of hair loss for alopecia classification
Data typesImage
TasksClassification, Machine Learning
Number of images2,400
Number of files in a set5 images (full-face photo, view from the top, back of the head, left side, and right side)
Total number of people480
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
  • —annotation.json —file contains metadata and labels for all individuals in the dataset.

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