fish Computer Vision Project

Sun Woo Park

Updated 3 years ago

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Classes (5)
Chilomycterus schoepfi
Dascyllus aruanus
Rhinecanthus aculeatus
Zebrasoma flavescen
Zebrasoma flavescens
Description

Here are a few use cases for this project:

  1. Marine Wildlife Conservation: Researchers and conservation organizations can use the "fish" model to monitor and track the population of different fish species, like Dascyllus aruanus, Chilomycterus schoepfi, Rhinecanthus aculeatus, Zebrasoma flavescens, and Zebrasoma flavescen, in marine ecosystems to assess their health and predict potential areas of concern.

  2. Aquarium Management: Aquariums can leverage the "fish" model to easily identify and track their diverse fish species in large tanks, analyze their behavior and interactions, and use the generated data for making informed decisions about feeding, tank maintenance, or new acquisitions.

  3. Educational Tools: Interactive applications and educational platforms can incorporate the "fish" model, allowing students and enthusiasts to identify different fish species in images or videos, thereby enhancing their learning experience and understanding of marine life.

  4. Fishery Industry: Fishermen and the fishery industry can use the "fish" model to efficiently classify the fish they catch, thereby ensuring sustainability and abiding by strict regulations on catch restrictions for certain species, which can aid in maintaining ecological balance.

  5. Underwater Exploration and Research: Marine biologists, oceanographers, and other marine researchers can utilize the "fish" model to automatically classify and analyze fish species in underwater recordings and images, saving time on manual identification processes and facilitating a deeper understanding of marine ecosystems.

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{
                            fish-89ggf_dataset,
                            title = { fish Dataset },
                            type = { Open Source Dataset },
                            author = { Sun Woo Park },
                            howpublished = { \url{ https://universe.roboflow.com/sun-woo-park/fish-89ggf } },
                            url = { https://universe.roboflow.com/sun-woo-park/fish-89ggf },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2021 },
                            month = { nov },
                            note = { visited on 2024-11-21 },
                            }
                        
                    

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