Skintelligent-Acne
| Property | Value |
|---|---|
| Author | imfarzanansari |
| License | MIT License |
| Model Link | Hugging Face |
What is skintelligent-acne?
Skintelligent-acne is a specialized machine learning model designed to assess and classify acne severity levels in skin images. It employs advanced computer vision techniques to categorize acne conditions across six distinct levels, ranging from clear skin to very severe acne, providing healthcare professionals and users with an automated diagnostic tool.
Implementation Details
The model implementation consists of several crucial components stored in various configuration files. It utilizes safetensors for model parameter storage, includes comprehensive preprocessing configurations, and maintains state information for reproducibility through RNG state files and scheduler configurations.
- Includes preprocessor configuration for standardized image processing
- Employs optimizer and scheduler states for reliable training
- Maintains reproducibility through RNG state management
- Uses safetensors for efficient parameter storage
Core Capabilities
- Classification across 6 severity levels (-1 to 4)
- Clear skin detection (Level -1)
- Occasional spots assessment (Level 0)
- Mild to very severe acne classification (Levels 1-4)
- Standardized preprocessing for consistent analysis
Frequently Asked Questions
Q: What makes this model unique?
The model's ability to distinguish between six distinct acne severity levels with clinical precision makes it particularly valuable for both medical professionals and individuals seeking to monitor their skin condition. Its comprehensive assessment range, from clear skin to very severe acne, provides detailed insights for treatment planning.
Q: What are the recommended use cases?
The model is ideal for dermatological screening, patient progress monitoring, and automated acne severity assessment in clinical settings. It can be integrated into telemedicine platforms, skincare applications, or used as a diagnostic aid tool for healthcare professionals.
