Underwater Computer Vision Project
Here are a few use cases for this project:
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Marine Conservation: The "Underwater" model can be used to monitor and quantify the presence of marine litter, helping environmental researchers track the impact of waste on marine life.
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Smart Fishing Industry: The system could be used on commercial fishing vessels to automatically sort captured fish from trash, increasing efficiency and potentially reducing environmental impact.
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Beach Cleanup: The "Underwater" model can help in detecting and quantifying trash along the coastlines, aiding in prioritizing and improving efficiency in beach cleanup initiatives.
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Eco-Tourism: For tourist spots involving snorkeling or diving activities, the model can provide real-time information about the cleanliness of the waters, contributing to sustainable tourism development.
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Underwater Archaeology: This computer vision model could help archaeologists by identifying and separating trash from potential artifacts or interesting specimens during underwater research.
Trained Model API
This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
underwater-u9ytq_dataset,
title = { Underwater Dataset },
type = { Open Source Dataset },
author = { college },
howpublished = { \url{ https://universe.roboflow.com/college-bwwgk/underwater-u9ytq } },
url = { https://universe.roboflow.com/college-bwwgk/underwater-u9ytq },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { apr },
note = { visited on 2024-05-03 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the Underwater project in your project.
