Split Harbor Computer Vision Project
Updated 2 years ago
Metrics
Here are a few use cases for this project:
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Maritime Traffic Management: The "Split Harbor" model can be used by harbor authorities or coast guards for monitoring and managing vessel traffic in and around harbors. By identifying the type of vessel, it can aid in more effective and safer allocation of berths.
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Urban Planning and Infrastructure: City planners working in cities with large harbor areas can utilise this model to predict the frequency and type of vessels in their harbors, helping with infrastructure planning and management.
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Environmental Research: The model can assist environmental scientists in conducting research on the impact of different vessel types on marine environments, by helping to quantise the marine traffic.
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Marine Insurance: Insurance companies can use this model to identify the risk levels associated with different classes of vessels, which can then be used to calculate insurance premiums.
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Supply Chain Efficiency: Companies can use this model to track and monitor their shipment carriers including small boats, cruisers, and ferries. This can help in optimizing logistics, predicting shipment arrivals and maintaining supply chain efficiency.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
split-harbor-bv9be_dataset,
title = { Split Harbor Dataset },
type = { Open Source Dataset },
author = { FESB },
howpublished = { \url{ https://universe.roboflow.com/fesb/split-harbor-bv9be } },
url = { https://universe.roboflow.com/fesb/split-harbor-bv9be },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { jan },
note = { visited on 2024-12-30 },
}