Rip Current - coastsnap - Praia Santinho

Object Detection

Rip Current - coastsnap - Praia Santinho Computer Vision Project

CnE UFSC

Updated a year ago

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Description

Here are a few use cases for this project:

  1. Beach Safety Monitoring: This model can be used by coastguards and public safety organizations to constantly monitor beaches for rip currents and alert beachgoers or surfers in real time, thus reducing risk of drowning incidents.

  2. Climate Study and Oceanography: Scientists can use the model to study the formation, distribution, and frequency of rip currents. This information could assist in climate research and understanding coastal processes.

  3. Tourism Management: Tourism boards and beachside resorts could use this model to ensure visitor safety by alerting tourists of rip currents, or even regulating access to certain areas when rip currents are detected.

  4. Search and Rescue Operations: This system could aid Search and Rescue teams in identifying locations with high likelihood of rip currents, assisting with the planning of rescue missions by avoiding dangerous areas.

  5. Educational Resource: The model can provide material for educational demonstrations or simulations about marine safety and rip currents, being used as a learning resource in schools, universities or public awareness campaigns.

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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{
                            rip-current---coastsnap---praia-santinho_dataset,
                            title = { Rip Current - coastsnap - Praia Santinho Dataset },
                            type = { Open Source Dataset },
                            author = { CnE  UFSC },
                            howpublished = { \url{ https://universe.roboflow.com/cne-ufsc/rip-current---coastsnap---praia-santinho } },
                            url = { https://universe.roboflow.com/cne-ufsc/rip-current---coastsnap---praia-santinho },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { oct },
                            note = { visited on 2024-12-11 },
                            }