fish-recognition-3 Computer Vision Project
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Here are a few use cases for this project:
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Aquarium Monitoring: The fish-recognition-3 model can be used in aquariums for monitoring the health and activity of various fish species. The system could detect changes in behavior or population and inform management staff if something is unusual.
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Aquaculture Management: In commercial fish farming, the model could automate the process of tracking fish populations, identifying species for selective breeding or disease control.
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Underwater Research: Marine biologists can use this model to identify and catalog fish species in given underwater images or videos, assisting in research and the monitoring of marine biodiversity.
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Fish Market Regulation: Regulatory bodies could use this system to monitor fish markets, ensuring the correct species are being sold and enforcing rules on endangered species.
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Recreational Angling: An application could be developed that allows anglers to identify fish species they catch, helping them follow local fishing regulations and protect endangered species.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
fish-recognition-3_dataset,
title = { fish-recognition-3 Dataset },
type = { Open Source Dataset },
author = { Fishal recognition 3 },
howpublished = { \url{ https://universe.roboflow.com/fishal-recognition-3/fish-recognition-3 } },
url = { https://universe.roboflow.com/fishal-recognition-3/fish-recognition-3 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { jul },
note = { visited on 2024-12-02 },
}