MiniCleanModel3 Computer Vision Project
Updated a year ago
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Here are a few use cases for this project:
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Maritime Traffic Control: MiniCleanModel3 could be integrated in maritime traffic control systems to automatically identify types of ships in real time. The model could inform the authorities of any peculiar or unexpected ship movements or categories, ensuring safe navigation in busy waterways.
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Defence and Surveillance: The model could be used in national defense systems to recognize enemy ships or suspicious vessel activities. It can provide essential information in real time including the ship classes, which could be critical in naval warfare or intelligence operations.
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Environmental Monitoring: Identifying vessel type such as oil tankers, cargo ships, etc. can help monitor potential environmental threats. MiniCleanModel3 could be utilized by environmental agencies to keep a check on ships that pose a risk to marine environments.
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Port Management: Ports around the world could implement the model to enhance their vessel management operations. The model can help them to identify the types of incoming and outgoing vessels in their docks, assisting in better planning and utilization of port resources.
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Luxury Yacht Identification: For luxury event organizers or port authorities in upscale destinations, the model can help identify incoming yachts. This can assist in preparing appropriate welcome protocols or managing berthing space efficiently.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
minicleanmodel3-mnf0u_dataset,
title = { MiniCleanModel3 Dataset },
type = { Open Source Dataset },
author = { backdoor experiment2 },
howpublished = { \url{ https://universe.roboflow.com/backdoor-experiment2/minicleanmodel3-mnf0u } },
url = { https://universe.roboflow.com/backdoor-experiment2/minicleanmodel3-mnf0u },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { jul },
note = { visited on 2024-11-21 },
}