salmon Computer Vision Project

gangwondo

Updated a year ago

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n/n salmon
salmon

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Description

Here are a few use cases for this project:

  1. Sustainable Fisheries Management: This model could be used to monitor various fish species in a particular habitat, assisting in sustainable fishing practices by identifying overfishing patterns and helping to maintain a healthy balance in the ecosystem.

  2. Aquaculture: Farmers who are rearing fish, such as salmon, could use this model to quickly and accurately determine the population of specific fish species in their tanks or pens, which could assist in optimizing feeding, breeding, and disease management strategies.

  3. Retail Industry: Supermarkets and fish markets could use this model to automate the sorting and classification of fish types, improving efficiency, reducing errors, and ensuring customers get the correct product.

  4. Education and Research: The model could be utilized in research institutions for the study and identification of fish species in lab environments, saving researchers valuable time and reducing the potential for human error in identifications.

  5. Environmental Agencies: The model could be used by governmental or non-governmental organizations monitoring biodiversity in marine or freshwater environments, providing data on species population and frequency which can contribute toward actions for conservation and protection of threatened species.

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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{
                            salmon-gsavy_dataset,
                            title = { salmon Dataset },
                            type = { Open Source Dataset },
                            author = { gangwondo },
                            howpublished = { \url{ https://universe.roboflow.com/gangwondo-pni83/salmon-gsavy } },
                            url = { https://universe.roboflow.com/gangwondo-pni83/salmon-gsavy },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { sep },
                            note = { visited on 2024-11-21 },
                            }