wisdomteethdetection
Wisdom teeth detection using Yolo
Science Score: 44.0%
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✓codemeta.json file
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○Scientific vocabulary similarity
Low similarity (6.3%) to scientific vocabulary
Keywords
image-classification
yolov8
Last synced: 6 months ago
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Repository
Wisdom teeth detection using Yolo
Basic Info
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Topics
image-classification
yolov8
Created almost 2 years ago
· Last pushed almost 2 years ago
Metadata Files
Readme
Citation
README.md
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.pyto train the model - The trainer loads data from the datasets folder, this can be configured in
data.yamlfile by updating thepathto../wisdomteethdetection/datasets/<your-dataset>/
Owner
- Name: Shiv Shringare
- Login: shivshringare
- Kind: user
- Location: Mumbai, India
- Company: Codebox
- Repositories: 1
- Profile: https://github.com/shivshringare
Software Engineer
Citation (CITATION.cff)
cff-version: 1.2.0
title: Efficacy Analysis of Image Enhancement for Classifying Mandibular Wisdom Teeth using Yolov8
type: software
authors:
- given-names: Shiv
family-names: Shringare
affiliation: Auckland University of Technology
- given-names: Yna
family-names: Ojeda
affiliation: Auckland University of Technology
- family-names: Priyadarshini
given-names: Natarajan
affiliation: Auckland University of Technology
repository-code: 'https://github.com/shivshringare/wisdomteethdetection'
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