Beaver_Lodges_7/2022 Computer Vision Project
Updated 2 years ago
Metrics
Here are a few use cases for this project:
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Wildlife Conservation Studies: The model can be used to monitor beaver populations and their activities across different regions for wildlife conservation purposes. By identifying active lodges, researchers can get insights into beaver behavior and overall health of the ecosystem.
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Environmental Impact Assessments: The model can aid in conducting environmental impact assessments, specifically in investigations related to dam construction or other activities impacting beaver habitats. The presence of active beaver lodges can indicate the health of the local beaver population and inform mitigation strategies.
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River and Wetland Management: Beaver activity significantly impacts water flow and wetland creation. By automating the identification of active beaver lodges, water resource managers can more effectively manage flood control, restoration projects, and water quality checks.
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Educational Purposes: The model could be used in educational software and apps to help students and the general public learn more about beavers, their behavior, and their role in the ecosystem.
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Ecotourism Applications: The model can assist in planning ecotourist routes to safely observe beaver activity and their constructed lodges without disturbing the animals or their habitats.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
beaver_lodges_7-2022_dataset,
title = { Beaver_Lodges_7/2022 Dataset },
type = { Open Source Dataset },
author = { KevinD },
howpublished = { \url{ https://universe.roboflow.com/kevind/beaver_lodges_7-2022 } },
url = { https://universe.roboflow.com/kevind/beaver_lodges_7-2022 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { jul },
note = { visited on 2024-11-24 },
}