VAIS-RGB-BACKGROUND Computer Vision Project
Updated 3 years ago
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Here are a few use cases for this project:
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Maritime Traffic Management: The "VAIS-RGB-BACKGROUND" model can be used for improving real-time monitoring and control of maritime traffic. It can classify vessels to help regulate traffic and avoid accidents in crowded seaways or ports.
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Coast Guard Search & Rescue: The model can aid in distinguishing between different types of sea vessels during search and rescue operations. With the ability to classify the types of vessels, the Coast Guard can better strategize resources depending on the vessel type involved.
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Marine Conservation and Regulation: Authorities can use this system to detect specific types of boats that may engage in illegal activities such as forbidden fishing practices. This could help enforce conservation laws and protect marine ecosystems.
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Port Security: The model can assist in recognizing different types of vessels to bolster security at ports. Recognizing the type of vessel can support identification or early warning systems against potential threats.
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Tourism and Recreation: In areas where multiple types of vessels are active for leisure or tourism activities, the model can help manage such activities more efficiently. It can assist operators in choosing routes based on the type and density of vessels in the region.
Note: The provided image of a piece of meat with spices on a cutting board seems unrelated to the described model use cases and might be a mistake. Please provide images which are more accurate when using this AI model.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
vais-rgb-background_dataset,
title = { VAIS-RGB-BACKGROUND Dataset },
type = { Open Source Dataset },
author = { Maritime },
howpublished = { \url{ https://universe.roboflow.com/maritime-cumkb/vais-rgb-background } },
url = { https://universe.roboflow.com/maritime-cumkb/vais-rgb-background },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { jan },
note = { visited on 2024-11-17 },
}