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Female Hair Loss Detection Dataset
Data Science and Analytics
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About
Provides images of women exhibiting various stages of baldness, categorised according to the Ludwig scale. This data product is a valuable resource for understanding the progression of female pattern hair loss, assisting in improved diagnosis, and facilitating the evaluation of treatment effectiveness. The data is carefully structured for developing robust AI models and machine learning algorithms designed to automate hair loss detection and potentially improve early intervention methods.
Columns
- id: A unique identifier associated with each person in the dataset.
- gender: The stated gender of the person (the unique value is female).
- age: The age of the person captured in the images.
- ethnicity: The ethnicity of the person (e.g., Caucasians, India).
- Top-Down: A link used to access the top-down photograph of the individual.
- Back: A link used to access the photograph taken from the back angle.
- Front: A link used to access the photograph taken from the front angle.
- Left: A link used to access the photograph taken from the left side angle.
- Right: A link used to access the photograph taken from the right side angle.
Distribution
The dataset includes a metadata file, typically provided in CSV format, alongside folders containing image files. The structure organises the image data such that each individual is represented by five separate images, captured from distinct angles: front, back, top-down, left side, and right side. These files are legally sourced and prepared specifically for AI training purposes.
Usage
Ideal for developing deep learning models in computer vision, particularly focusing on image classification and segmentation tasks related to the human scalp and hair. It can be utilised for creating algorithms for automated hair loss detection, classifying the severity of baldness (based on the Ludwig scale), and facilitating facial or biometric analysis in a medical context.
Coverage
The dataset focuses exclusively on the condition of female pattern hair loss (androgenetic alopecia). It encompasses diverse demographics, ages, and ethnicities. The images cover various stages of hair loss in women. The data collection is static, meaning that there is an expected update frequency of 'Never'.
License
Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
Who Can Use It
- AI/ML Developers: Training high-quality models for medical diagnostics and computer vision.
- Academic Researchers: Conducting studies in medical imaging, biology, and biometric datasets.
- Healthcare Technology Firms: Building tools for better diagnosis, treatment evaluation, and tracking patient results related to hair restoration.
Dataset Name Suggestions
- Female Hair Loss Detection Dataset (Ludwig Scale)
- Bald Women Image Corpus
- Alopecia Detection Visuals
- Female Pattern Baldness Image Archive
Attributes
Original Data Source: Female Hair Loss Detection Dataset
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