cumulative_pole_segmentation Computer Vision Project
Updated 2 years ago
Here are a few use cases for this project:
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Utility Infrastructure Monitoring: The model could be used to monitor the health and status of power lines, poles, and transformers in a city. By regularly analyzing the images, this could help early detection of any potential issues or damage, aiding in preventive maintenance.
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Disaster Response Planning: In the event of natural disasters like hurricanes or earthquakes, the model could quickly analyze images to identify damages to utility infrastructures such as fallen poles or damaged transformers, helping first-responders to prioritize their restoration efforts.
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Urban Planning and Development: The model could be useful for urban planners to understand the distribution and density of power infrastructure. The data can be used to make informed decisions when planning new development projects or upgrading the existing infrastructure.
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Autonomous Vehicle Navigation: Self-driving vehicles can use this model to better understand and navigate their environment. Detection of power lines, poles, and transformers might be needed for path planning and obstacle avoidance.
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Augmented Reality (AR) Mapping: This model can help in creating detailed and accurate AR maps for various applications. For example, AR-based utility management systems can show a superimposed view of power lines, transformers, and poles for easy visualization and management.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
cumulative_pole_segmentation_dataset,
title = { cumulative_pole_segmentation Dataset },
type = { Open Source Dataset },
author = { Kulothungan S },
howpublished = { \url{ https://universe.roboflow.com/kulothungan-s-97vmf/cumulative_pole_segmentation } },
url = { https://universe.roboflow.com/kulothungan-s-97vmf/cumulative_pole_segmentation },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { apr },
note = { visited on 2024-12-18 },
}