sonar-yolo-2 Computer Vision Project
Updated 2 years ago
Here are a few use cases for this project:
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Maritime Surveillance: The "sonar-yolo-2" can enhance the surveillance capabilities of the coast guard or naval forces, helping them detect illegal activities such as smuggling, fishing, or suspicious movements of bodies, ships, or planes in the water bodies.
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Search and Rescue Operations: This solution can assist in locating missing or drowned bodies in bodies of water, or discover wrecked ships or crashed planes, thereby maximizing the efficiency of these critical operations.
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Environmental Monitoring: It may prove valuable for tracking the movements of ships to prevent illegal dumping of waste into oceans and seas. It can also be used to verify adherence to maritime traffic regulations.
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Aerospace Industry: The aerospace industry may leverage it for investigating plane crashes, where it could help in locating the debris/ parts of the crashed plane underwater, providing valuable inputs to understand the cause of crash.
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Harbor Management: The ports and harbors can utilize it for efficient management of the incoming and outgoing ships, maintaining a clear log of ship activities, which could lead to improved safety and operations.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
sonar-yolo-2_dataset,
title = { sonar-yolo-2 Dataset },
type = { Open Source Dataset },
author = { Jovin Leong },
howpublished = { \url{ https://universe.roboflow.com/jovin-leong/sonar-yolo-2 } },
url = { https://universe.roboflow.com/jovin-leong/sonar-yolo-2 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { jul },
note = { visited on 2024-12-29 },
}