Telstra_Pole_Detection_v1 Computer Vision Project
Updated a year ago
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Metrics
Here are a few use cases for this project:
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Infrastructure Maintenance and Management: The model can be used for automated monitoring of public infrastructure like street lights, traffic lights, and electrical poles. It can help authorities in identifying which poles require maintenance or replacement, helping streamline logistics and budget planning.
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Urban Planning and Development: The model can assist city planners by providing a comprehensive analysis of existing urban infrastructure, which may inform future development projects, and aid in evaluating the suitability of different locations for pole installations.
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Telecommunication Infrastructure: Network providers can use this model to identify suitable poles for mounting small cell units in their efforts to expand 5G networks or improve overall cellular service.
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Traffic and Road Safety Improvement: By identifying traffic relevant poles, appropriate pole positioning, and state of the poles (e.g., functioning lights), the model can be used to improve road safety measures.
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Autonomous Vehicle Navigation Systems: Self-driving vehicle systems can use this model to better understand their surroundings, particularly in detecting and navigating around various types of poles and understanding street signs.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
telstra_pole_detection_v1_dataset,
title = { Telstra_Pole_Detection_v1 Dataset },
type = { Open Source Dataset },
author = { TelstraPoleDetection },
howpublished = { \url{ https://universe.roboflow.com/telstrapoledetection/telstra_pole_detection_v1 } },
url = { https://universe.roboflow.com/telstrapoledetection/telstra_pole_detection_v1 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { jul },
note = { visited on 2024-12-21 },
}