aqua-chordata-marker Computer Vision Project
Updated 2 years ago
Here are a few use cases for this project:
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Marine biodiversity monitoring: The "aqua-chordata-marker" model can be used by marine researchers to identify and track populations of various aquatic species (blue-swimmer-crab, skipjack, grouper, yellowfin-tuna) in their natural habitats, which will help them understand and assess marine biodiversity in different regions over time.
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Sustainable fisheries management: This model can help fisheries managers accurately identify and quantify catches of targeted species (yellowfin-tuna, skipjack, and grouper) to implement sustainable fishing quotas and reduce the catch of non-target species, promoting responsible and eco-friendly fishing practices.
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Automated underwater robotics: Equipping underwater drones and autonomous vehicles with the "aqua-chordata-marker" model enables them to identify marine species of interest in real-time, assisting in scientific exploration or locating fish for commercial purposes.
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Marine life preservation efforts: Organizations working on marine conservation and wildlife protection can use this model to monitor the presence of specific species, identify potential risks or threats to their population, and gather data for developing targeted preservation strategies.
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Educational and citizen science applications: The "aqua-chordata-marker" model can be integrated into apps and platforms that provide users with real-time identification of marine species, encouraging interest in marine biology, and allowing citizen scientists to contribute valuable data to global marine research initiatives.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
aqua-chordata-marker_dataset,
title = { aqua-chordata-marker Dataset },
type = { Open Source Dataset },
author = { CAWILTrACE },
howpublished = { \url{ https://universe.roboflow.com/cawiltrace/aqua-chordata-marker } },
url = { https://universe.roboflow.com/cawiltrace/aqua-chordata-marker },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { aug },
note = { visited on 2024-11-23 },
}