Object_Detection_LongBeach_NorthAmerica Computer Vision Project
Updated 2 years ago
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Here are a few use cases for this project:
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Ship Classification: The model can be used by maritime regulatory bodies, ship manufacturers, or armed forces for classifying and identifying different types of ships. This can be useful for maintaining naval databases, understanding ship traffic, or for defense purposes.
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Monitoring Marine Traffic: Ports and marine traffic control authorities can use this model to monitor and manage ship movements effectively. It can provide insights about the number of different classes of ships entering or leaving a port in Long Beach or anywhere in North America.
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Search and Rescue Operations: In cases of maritime accidents, this computer vision model can effectively help in identifying the type of ships involved, assisting rescue teams' operations based on the class of ship they are looking for.
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Naval Warfare Scenario Simulations: For strategic planning, military and defense organizations can use this model to detect different ship classes in their war game scenario simulations or in real-time reconnaissance images.
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Environmental Monitoring: Environmental and Ocean Conservation agencies can use this model to identify shipping activities in protected sea zones and monitor any potentially harmful activities to marine life.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
object_detection_longbeach_northamerica_dataset,
title = { Object_Detection_LongBeach_NorthAmerica Dataset },
type = { Open Source Dataset },
author = { ITU },
howpublished = { \url{ https://universe.roboflow.com/itu-cwzlh/object_detection_longbeach_northamerica } },
url = { https://universe.roboflow.com/itu-cwzlh/object_detection_longbeach_northamerica },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { may },
note = { visited on 2024-11-24 },
}