NRL Ships Object Detection Dataset and Pre-Trained Model by USNA

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Explore Dataset

Here are a few use cases for this project:

Port Management and Traffic Coordination: Monitoring ship traffic and identifying types of ships in real-time to efficiently manage port activities, allocate resources, and maintain safety standards by preventing potential collisions or other maritime issues.
Maritime Security and Surveillance: Assisting security agencies in tracking and identifying suspicious or unauthorized vessels, ensuring compliance with maritime regulations, and enhancing the security of national and international waters.
Search and Rescue Operations: Assisting rescue teams in identifying stranded or distressed vessels during emergency situations, enabling quicker response and prioritization of efforts, especially during night-time or low visibility conditions.
Environmental Monitoring and Research: Analyzing marine ecosystems and human impact on the environment by identifying and tracking industrial vessels such as tankers, fishing boats, and support vessels, and understanding their movement patterns, activities, and potential environmental hazards.
Tourism Industry and Recreation Management: Supporting coastal communities with information on boat traffic, identifying specific vessel types such as cruise ships or sailing vessels, and managing water sports activities, yacht marinas, and other recreational resources.

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{
                            nrl-ships_dataset,
                            title = { NRL Ships Dataset },
                            type = { Open Source Dataset },
                            author = { USNA },
                            howpublished = { \url{ https://universe.roboflow.com/usna-dcxiv/nrl-ships } },
                            url = { https://universe.roboflow.com/usna-dcxiv/nrl-ships },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { apr },
                            note = { visited on 2024-04-30 },
                            }