Facial Skin Condition Dataset
Dataset contains images of human faces in multiple poses (frontal, left profile, right profile) with skin problems.
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-
- images
- 1200
-
- people
- 400
- Medicine
- Computer Vision
- Machine Learning
- Facial Recognition
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- images
- 1200
-
- people
- 400
Dataset Info
| Characteristic | Data |
| Description | Images of human face with visible skin texture/issues |
| Data types | Image |
| Tasks | Skin Condition Detection, Computer Vision |
| Number of people | 400 |
| Number of files in a set | 3 images per person |
| Total number of files | 1200 |
| Labeling | Metadata (ID, gender, age, ethnicity) |
| Gender | Male, Female |
| Types of face angles | Frontal, left, right |
Technical
Characteristics
| Characteristic | Data |
| Image extension | jpg |
Industries
Medicine and Healthcare
-
AI-powered Diagnosis:
Training machine learning models to detect skin issues like acne, pigmentation, and scarring.
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Teledermatology Support:
Supporting remote diagnosis with pose-aware face images.
E-commerce and Retail
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Personalized Recommendations:
Offering AI-based skincare suggestions based on detected facial conditions.
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