Men Hair Loss Segmentation Dataset
Dataset of male alopecia images from 2 sides with segmentation masks
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-
- Images
- 3 100
-
- People
- 775
- Medicine
- Classification
- Computer Vision
- Machine Learning
- Segmentation
-
- Images
- 3 100
-
- People
- 775
Dataset Info
| Characteristic | Data |
| Description | Photos of men with varying degrees of hair loss for segmentation tasks |
| Data types | Image |
| Tasks | Classification, Machine Learning |
| Number of images | 3 100 |
| Number of files in a set | 4 images per person (image from the top + mask, image from front + mask) |
| Total number of people | 775 |
| Labeling | Metadata (gender, age, ethnicity) |
| Age | Min = 18, max = 80, mean = 45 |
Technical
Characteristics
| Characteristic | Data |
| Image Extensions | Png, jpeg |
| Mask Extensions | Png |
Industries
Medicine and Healthcare
-
Diagnostic Assistance:
Using AI-powered segmentation to assess hair loss patterns, aiding dermatologists in diagnosing alopecia types.
-
Treatment Monitoring:
Tracking hair regrowth progress over time by comparing segmented images before, during, and after therapy.
E-commerce and Retail
-
Personalized Hair Care:
Recommending products (e.g., minoxidil, laser therapy) based on segmented hair density and loss severity.
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