Male Hair Loss Dataset
Dataset of people alopecia images from 5 sides labeled with 7 classes according to the Norwood-Hamilton scale.
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-
- Images
- 2 400
-
- People
- 480
- Computer Vision
- Medicine
- Classification
- Machine Learning
- Data Labeling
-
- Images
- 2 400
-
- People
- 480
Dataset Info
| Characteristic | Data |
| Description | Photos of people with varying degrees of hair loss for alopecia classification |
| Data types | Image |
| Tasks | Classification, Machine Learning |
| Number of images | 2 400 |
| Number of files in a set | 5 images (full-face photo, view from the top, back of the head, left side and right side) |
| Total number of people | 480 |
| Labeling | Metadata (gender, age, ethnicity) |
| Age | Min = 18, max = 80, mean = 45 |
Technical
Characteristics
| Characteristic | Data |
| Image Extensions | Png, jpeg |
| Extension of labeling file | txt |
Industries
Medicine and Healthcare
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Clinical Diagnosis:
Automated classification of malepattern baldness stages (Norwood Scale) to assist dermatologists in treatment planning.
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Telemedicine:
Integration into remote consultation tools for preliminary hair loss assessment.
E-commerce and Retail
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Wig/Prosthetics Customization:
AI-powered sizing and style recommendations for hairpieces based on scalp visibility.
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