Fishnet Computer Vision Project
Updated a year ago
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Here are a few use cases for this project:
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Fish Population Studies: Researchers can use the Fishnet model to analyze footage from underwater cameras in lakes, rivers or sea, helping to identify specific fish species for population dynamics studies, monitoring biodiversity, or inform conservation efforts.
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Commercial Fishing: fishnet can be used to improve sustainable fishing practices. It will be able to identify the type of fish caught in real-time, allowing the crew to release non-target fish species or undersized fish of target species back into the water, thus increasing the survival chances of those fish.
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Aquaculture Farming: The Fishnet can help reinforce the detection process in fish farms, enhancing the overall process of farming fish by identifying and separating different species in the rearing tanks.
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Research and Educational Use: Fishnet can be utilized in academic institutions or research laboratories to assist students and researchers in species identification during fieldwork or experiments.
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Fish Market Regulation: Authorities can use Fishnet to ensure the correct labeling of fish products on the market, protecting consumers from mislabeling scams and ensuring the proper monitoring of fishing regulations.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
fishnet-i6mhd_dataset,
title = { Fishnet Dataset },
type = { Open Source Dataset },
author = { ICAI },
howpublished = { \url{ https://universe.roboflow.com/icai/fishnet-i6mhd } },
url = { https://universe.roboflow.com/icai/fishnet-i6mhd },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { aug },
note = { visited on 2024-12-22 },
}