expanded_geese_detection Computer Vision Project
Here are a few use cases for this project:
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Wildlife Conservation and Monitoring: Use the expanded_geese_detection model to monitor geese populations for conservation purposes, track migration patterns, and assess the health of their habitats in various regions.
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Birdwatching and Ornithology Research: Assist birdwatchers and ornithologists in identifying and classifying geese species in images or videos, providing valuable data for scientific research on geese behavior, ecology, and distribution.
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Air Traffic Safety and Bird Strike Prevention: Implement the model to detect and track geese flocks around airports or along flight paths, providing real-time information to air traffic controllers and pilots for improved safety measures while avoiding bird strike incidents.
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Crop Management and Agricultural Assessment: Utilize the expanded_geese_detection model to survey farmlands with large geese populations that may cause damage to crops, allowing farmers and land managers to strategize effective and ecologically responsible pest control measures.
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Outdoor Recreation Planning: Integrate the model into mobile applications or websites for recreational enthusiasts (e.g., hikers, campers) to identify geese-flock hotspots in the area, guiding users towards or away from desired wildlife encounters based on their preferences.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
expanded_geese_detection_dataset,
title = { expanded_geese_detection Dataset },
type = { Open Source Dataset },
author = { new-workspace-bsdcw },
howpublished = { \url{ https://universe.roboflow.com/new-workspace-bsdcw/expanded_geese_detection } },
url = { https://universe.roboflow.com/new-workspace-bsdcw/expanded_geese_detection },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2021 },
month = { dec },
note = { visited on 2024-05-18 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the expanded_geese_detection project in your project.