Efficacy Analysis of Image Enhancement for Classifying Mandibular Wisdom Teeth using Yolov8

Before you begin, ensure you have met the following requirements:

• Python 3.11 or later
• Pip package manager
• An environment manager like venv (optional, but recommended)

Setup Python Virtual Environment

python -m venv env

Activate the virtual environment

On Windows:

venv\Scripts\activate

On Linux or MacOS:

source venv/bin/activate

Setup

Install PyTorch

pip install torch torchvision torchaudio

Install Ultralytics YOLOv8 package

pip install ultralytics

Usage

• Run yolov8_trainer.py to train the model
• The trainer loads data from the datasets folder, this can be configured in data.yaml file by updating the path to ../wisdomteethdetection/datasets/<your-dataset>/