Fishes Computer Vision Project
Updated 3 years ago
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Here are a few use cases for this project:
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Aquarium Management: The "Fishes" computer vision model can be used by aquariums to monitor and identify the different fish species in their tanks, ensuring the health and well-being of the fish, as well as maintaining a balanced aquatic ecosystem.
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Fishing Industry: The model can be applied in the fishing industry to classify and segregate different types of fish during the sorting and processing stages, improving efficiency and reducing manual labor.
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Environmental Conservation: The "Fishes" model can assist in monitoring and tracking fish populations in their natural habitats, allowing researchers and conservationists to study the impact of pollution, climate change, and other environmental factors on aquatic life.
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Education and Research: The model can be a valuable tool for educational institutions and researchers, facilitating the study of marine biology, fish taxonomy, and ecology. Students and scientists can use this model to identify and classify fish species while conducting field research or studying the behavior and interactions of fish in a controlled environment.
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Recreational Fishing: Anglers can use the "Fishes" model to identify and learn more about the various fish species they catch during trips, enhancing their overall fishing experience and promoting better catch-and-release practices.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
fishes-rvdlx_dataset,
title = { Fishes Dataset },
type = { Open Source Dataset },
author = { Krithika Pai },
howpublished = { \url{ https://universe.roboflow.com/krithika-pai/fishes-rvdlx } },
url = { https://universe.roboflow.com/krithika-pai/fishes-rvdlx },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { jan },
note = { visited on 2024-11-27 },
}