Seami Fish Detection Computer Vision Project
Updated 2 years ago
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Here are a few use cases for this project:
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Marine Conservation: This model could be used by marine biologists and conservationists to automatically identify and monitor various fish species' populations in a particular area, enabling more effective conservation efforts.
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Educative applications: It could be used in aquariums and schools to automatically identify fish species in an informative display, providing interactive education about marine life to the visitors or students respectively.
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Wildlife Documentary Filming: Documentarians could use the model to help interpret underwater footage, speeding up the process of identifying featured fish species and enhancing the accuracy of their commentaries.
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Dive Safety Assistance: The model can be used in dive cameras for divers and snorkelers to instantly identify potentially harmful species like sharks or lionfish, enhancing safety in underwater explorations.
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Recreational Fishing Aid: For those engaging in recreational fishing, the model could be used to accurately identify different fish species, helping eliminate confusion and promote catch-and-release of protected 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{
seami-fish-detection_dataset,
title = { Seami Fish Detection Dataset },
type = { Open Source Dataset },
author = { Internkawsar },
howpublished = { \url{ https://universe.roboflow.com/internkawsar/seami-fish-detection } },
url = { https://universe.roboflow.com/internkawsar/seami-fish-detection },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { feb },
note = { visited on 2024-11-21 },
}