acne

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/