Fish detector Computer Vision Project

University of Michigan

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Description

Here are a few use cases for this project:

  1. Marine Biology Research: This model can be a powerful tool for marine biologists or researchers to easily identify and classify diverse types of fish, aiding in ecological studies and biodiversity assessments.

  2. Aquaculture Management: The fish detector can help fish farm operators to monitor species in their commercial tanks, facilitating better management of the fish stocks.

  3. Fishing Industry: It could be used in the fishing industry to instantly classify the type of fish caught, ensuring compliance with fishing regulations and preserving endangered species.

  4. Supermarket and Restaurants: This model could be used to automatically categorize types of fish in supermarkets or restaurants, improving inventory management and customer service.

  5. Underwater Robotics: For underwater exploration, submarines and robotic systems could use this model to detect and classify different species of fish, aiding data collection and deep-sea exploration.

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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{
                            fish-detector-rzopd_dataset,
                            title = { Fish detector Dataset },
                            type = { Open Source Dataset },
                            author = { University of Michigan },
                            howpublished = { \url{ https://universe.roboflow.com/university-of-michigan-du9nk/fish-detector-rzopd } },
                            url = { https://universe.roboflow.com/university-of-michigan-du9nk/fish-detector-rzopd },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-11-24 },
                            }
                        
                    

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