Object detection Computer Vision Project

NTNU

Updated 2 years ago

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Description

Here are a few use cases for this project:

  1. Maritime Surveillance and Security: The "Object Detection" model can classify different types of ships and boats to identify potential security threats, illegal activities, or unauthorized boats in monitored areas.

  2. Navigation Assistance: The model can be used in navigation systems to help sailors and captains identify other types of vessels in their proximity. This can help avoid collisions and provide safer navigation in crowded waters.

  3. Search and Rescue Operations: During search and rescue operations, the identification and classification of objects like boats or buoys could help pinpoint the location of missing or stranded individuals.

  4. Fishing Industry: The model can be used to monitor fishery areas, distinguish between different types of vessels, track movements, and enforce regulations in protected zones.

  5. Water Sports and Recreation: Useful in managing water sports activities, like kayaking or sailing races, ensuring routes are clear and tracking participants for safety purposes.

Supervision

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Cite This Project

LICENSE
CC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            object-detection-afahf_dataset,
                            title = { Object detection Dataset },
                            type = { Open Source Dataset },
                            author = { NTNU },
                            howpublished = { \url{ https://universe.roboflow.com/ntnu-7r5qt/object-detection-afahf } },
                            url = { https://universe.roboflow.com/ntnu-7r5qt/object-detection-afahf },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jan },
                            note = { visited on 2024-12-19 },
                            }
                        
                    

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