marine-sharks Computer Vision Project

Shark detection dataset

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Classes (9)
bird boat dolphin
eagle ray
kayak boat
person
seaweed
shark
swimmer
Description

Here are a few use cases for this project:

  1. Shark Detection and Alert: The "marine-sharks" model can be used to automatically detect the presence of sharks in an area where people are swimming. This can trigger safety alerts to lifeguards or beachgoers, enabling them to take preventive measures.

  2. Marine Wildlife Research: Researchers studying marine ecosystems and interactions between marine animals such as sharks, seals, and dolphins can benefit from this computer vision model to automatically track and analyze animal behaviors and movements across large image or video datasets.

  3. Ecotourism and Wildlife Observation: Tour guides, marine parks, and ecotourism companies can use the "marine-sharks" model to locate and monitor marine animals in real-time, enhancing the experience of wildlife sightseeing for tourists while maintaining a safe distance from the animals.

  4. Search and Rescue Operations: In the event of a missing person or boat in open water, search and rescue teams can utilize the "marine-sharks" model for efficient detection and tracking of individuals, boats, and potential marine threats such as sharks during search missions, improving response times and safety.

  5. Monitoring Human and Wildlife Interactions: Environmentalists and conservationists can use the "marine-sharks" model to analyze images or videos captured in protected marine areas, studying the impact of human activity on wildlife and ensuring that regulations are being followed to minimize negative effects on marine habitats.

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{
                            marine-sharks-5jrjm_dataset,
                            title = { marine-sharks Dataset },
                            type = { Open Source Dataset },
                            author = { Shark detection dataset },
                            howpublished = { \url{ https://universe.roboflow.com/shark-detection-dataset/marine-sharks-5jrjm } },
                            url = { https://universe.roboflow.com/shark-detection-dataset/marine-sharks-5jrjm },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { oct },
                            note = { visited on 2024-11-21 },
                            }
                        
                    

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