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Acne Detection Model
Overview
This repository contains a YOLOv8-based model trained for detecting acne on African and dark skin tones. The model is designed to be inclusive, focusing on diverse datasets to improve dermatological applications' accuracy across various skin types.
Model Details
- Model Type: YOLOv8
- Architecture: YOLOv8
- Version: 1.0
Usage
Installation
pip install -r requirements.txt
Model Loading
from ultralytics import YOLO
# Load the model
model = YOLO("acne.pt")
# Perform inference
result = model.detect_acne(image_path="path/to/test_image.jpg")
print(result)
Replace "acne.pt" with the correct model weights file.
License
This project is licensed under the Apache License 2.0 - see the LICENSE file for details.
Acknowledgments
- Data labeling by Amina Shiga
- Model Training by Nathaniel Handan
Contributing
We welcome contributions from the community. If you find any issues or have suggestions, please open an issue or submit a pull request.
Contact
For inquiries, please contact Nathanil Handan.
References
- Ultralytics YOLOv8: https://github.com/ultralytics/ultralytics
- VGG Image Annotator (VIA): https://www.robots.ox.ac.uk/~vgg/software/via/
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