Ocean_Eddy_Detection_2Bands_2.0 Computer Vision Project

WHUMaRSLab

Updated a year ago

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Description

Here are a few use cases for this project:

  1. Climate Research: Researchers studying climate change can use the "Ocean_Eddy_Detection_2Bands_2.0" to analyze ocean patterns and detect eddy formations. Their frequency, size, and durations can be important indicators of climate shifts.

  2. Marine Ecosystem Studies: Ecologists can use this model to study marine life patterns since ocean eddies often carry nutrients from the deep sea to the surface and ensure the growth of phytoplankton, essentially impacting entire food chains.

  3. Oil Spill Response: The model can be valuable for disaster response teams managing oil spills in the ocean. Understanding the patterns of eddies can help predict the spread of pollutants and devise an efficient clean-up strategy.

  4. Navigation and Shipping: The shipping industry can utilize eddy detection for planning optimal routes for their vessels, enabling fuel efficiency and ensuring safer sea journeys.

  5. Renewable Energy Exploration: Developers of ocean-based renewable energy systems such as tidal energy generators can use this model to identify areas with frequent eddy activities to maximize energy harvest.

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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{
                            ocean_eddy_detection_2bands_2.0_dataset,
                            title = { Ocean_Eddy_Detection_2Bands_2.0 Dataset },
                            type = { Open Source Dataset },
                            author = { WHUMaRSLab },
                            howpublished = { \url{ https://universe.roboflow.com/whumarslab-efkut/ocean_eddy_detection_2bands_2.0 } },
                            url = { https://universe.roboflow.com/whumarslab-efkut/ocean_eddy_detection_2bands_2.0 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { apr },
                            note = { visited on 2024-09-24 },
                            }
                        
                    

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