theme2-pothole Computer Vision Project
Updated 2 years ago
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Metrics
Here are a few use cases for this project:
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Road Maintenance: This model can be used by city municipalities or road maintenance departments in identifying roads with severe potholes. This can help in prioritizing repair work, reducing manual labor for pothole identification, and improving over-all road safety.
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Traffic Management: The model can be employed in traffic management systems to anticipate traffic congestion areas due to potholes and redirect traffic accordingly, particularly during rush hours.
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Pothole Detection Apps: The model can be incorporated in mobile applications that detect and share information about potholes to other drivers. These apps could also report pothole information directly to local authorities for quick action.
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Autonomous Vehicle Navigation: This model can be integrated within the control systems for autonomous vehicles. The vehicles can identify potholes in the streets and plan their route in a way that minimizes damage to the vehicle.
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Insurance Claim Validation: Insurance companies can use this model to verify claims related to vehicle damage due to driving over potholes. They may be able to assess the presence of potholes at the claimed location and cross-verify the claimant's statements.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
theme2-pothole_dataset,
title = { theme2-pothole Dataset },
type = { Open Source Dataset },
author = { them2 },
howpublished = { \url{ https://universe.roboflow.com/them2/theme2-pothole } },
url = { https://universe.roboflow.com/them2/theme2-pothole },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { jan },
note = { visited on 2024-11-21 },
}