Feed_For_Second_Model Computer Vision Project
Updated 2 years ago
Here are a few use cases for this project:
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Power Line Maintenance: Utility companies can use the model to identify the status of pole, wire, crossarm, and transformer equipment in their network. It can help in scheduling regular maintenance, identifying damage after a storm, and predicting likely component failures.
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Urban Planning and Development: Architects and city planners can leverage the model to understand the existing infrastructure and allow efficient city planning or redesign projects.
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Disaster Management: Emergency services could utilize this model to identify power infrastructure damage after natural disasters, allowing faster response and recovery.
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Driverless Car Navigation: Autonomous vehicle systems can use this model to better understand their surroundings by identifying overhead infrastructure, avoiding accidents, and enhancing real-time location tracking.
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Infrastructure Mapping: Geographic Information System (GIS) providers can use the model to automate the process of power infrastructure mapping, contributing to more accurate and up-to-date maps.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
feed_for_second_model_dataset,
title = { Feed_For_Second_Model Dataset },
type = { Open Source Dataset },
author = { Kulothungan S },
howpublished = { \url{ https://universe.roboflow.com/kulothungan-s-97vmf/feed_for_second_model } },
url = { https://universe.roboflow.com/kulothungan-s-97vmf/feed_for_second_model },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { apr },
note = { visited on 2024-11-18 },
}