On road Computer Vision Project
Updated 2 years ago
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Here are a few use cases for this project:
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City Infrastructure Maintenance: The "On road" model can be utilized by city councils or infrastructure management teams to streamline identification of various manhole types for maintenance and repair. It can help them locate specific manhole types in a large geographical area which would improve the efficiency of their work.
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Urban Planning: Urban planners can use the model to better understand the distribution of various types of manholes across the city. It can aid in designing city layouts or in future development planning.
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Field Surveys: For surveyors or field workers who need to document and classify manholes, the model can save time and effort in the manual identification and classification process.
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Traffic Management: Traffic managers can use this tool to create detailed road maps. The model can identify manhole locations, enabling them to better manage the impact of maintenance works on traffic congestion.
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Public Safety: The model can be used by public safety authorities to identify hazard areas particularly during extreme weather conditions; different types of manholes may present varying risks of flooding or accidents and the model can help preempt these risks.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
on-road-xcojx_dataset,
title = { On road Dataset },
type = { Open Source Dataset },
author = { train image },
howpublished = { \url{ https://universe.roboflow.com/train-image/on-road-xcojx } },
url = { https://universe.roboflow.com/train-image/on-road-xcojx },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { mar },
note = { visited on 2024-11-21 },
}