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metadata
license: cc-by-nc-nd-4.0
task_categories:
  - image-classification
  - image-segmentation
  - image-to-image
  - image-feature-extraction
  - feature-extraction
language:
  - en
tags:
  - biology
  - code
  - medical

Bald Men Image Dataset

The dataset contains images of men with various stages of hair loss. Each person is represented by 5 images showcasing their condition. The alopecia dataset encompasses diverse demographics, age and ethnicities. Each case of hair loss is labeled by the Norwood scale.

Shooting angles in the dataset:

💴 For Commercial Usage: Full version of the dataset includes 1000+ photos of people with different stages of hair loss, leave a request on TrainingData to buy the dataset

The balding dataset is a valuable resource in understanding the progression of hair loss in men, better diagnosis, treatment evaluation, and tracking of results. It can be used in developing machine learning algorithms to automate hair loss detection and potentially improve early intervention methods.

Content

The folder files includes:

  • 5 folders with images of each person in the dataset, identified by the corresponding number
  • each folder includes 5 images of a person from different angles: front, back, top-down, left side and right side

File with the extension .csv

  • id: id of the person,
  • gender: gender of the person,
  • age: age of the person,
  • ethnicity: ethnicity of the person,
  • label: stage of hair loss by Norwood scale,
  • Top-Down: link to access the top-down photo,
  • Back: link to access the back photo,
  • Front: link to access the front photo,
  • Left: link to access the left side's photo,
  • Right: link to access the right side's photo

💴 Buy the Dataset: This is just an example of the data. Leave a request on https://trainingdata.pro/datasets to learn about the price and buy the dataset

TrainingData provides high-quality data annotation tailored to your needs

More datasets in TrainingData's Kaggle account: https://www.kaggle.com/trainingdatapro/datasets

TrainingData's GitHub: https://github.com/Trainingdata-datamarket/TrainingData_All_datasets

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