ShivamVadalia/Underwater-Waste-Detection-Using-YoloV8-And-Water-Quality-Assessment
Neural Ocean is a project that addresses the issue of growing underwater waste in oceans and seas. It offers three solutions: YoloV8 Algorithm-based underwater waste detection, a rule-based classifier for aquatic life habitat assessment, and a Machine Learning model for water classification as fit for drinking or irrigation or not fit.
This project helps environmental monitoring organizations, marine biologists, and water quality analysts assess the health of aquatic environments. You input underwater images to detect waste, and provide chemical water parameters to classify water as safe for drinking, irrigation, or aquatic life. The output provides clear assessments of waste presence and water quality.
No commits in the last 6 months.
Use this if you need to quickly evaluate underwater environments for pollution and determine water suitability for various purposes based on visual and chemical data.
Not ideal if you require real-time, in-situ monitoring without the ability to upload images or input chemical data manually.
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33
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8
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jun 12, 2023
Commits (30d)
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