hh_non_arctic Computer Vision Project
Here are a few use cases for this project:
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Maritime Surveillance Systems: The model can be used in surveillance systems to monitor and track the movement of ships. Along with location data, surveillance systems will have the ability to identify different types of ships, ensuring maritime security and traffic efficiency.
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Ship Recognition Training: For the military or coast guard personnel, this model can facilitate training programs by helping them differentiate various classes of ships swiftly and accurately.
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Search and Rescue Operations: In emergency situations, identifying ship's classes quickly can aid search and rescue operations, helping to focus efforts effectively.
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Ports and Harbour Management: This model can help port authorities efficiently manage incoming and outgoing vessels by swiftly identifying their classes, improving logistics and dock assignment.
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Marine Research: Marine researchers can use this model to track and identify various classes of ships, studying their impact on marine ecosystems, routes, and their interactions with marine animals.
Trained Model API
This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
hh_non_arctic-yrlfz_dataset,
title = { hh_non_arctic Dataset },
type = { Open Source Dataset },
author = { dtu },
howpublished = { \url{ https://universe.roboflow.com/dtu-4k95c/hh_non_arctic-yrlfz } },
url = { https://universe.roboflow.com/dtu-4k95c/hh_non_arctic-yrlfz },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { feb },
note = { visited on 2024-05-01 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the hh_non_arctic project in your project.
