C_V New_Data Computer Vision Project
Updated 2 years ago
Here are a few use cases for this project:
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Road Maintenance Planning: City administrators or town planners can use the "C_V New_Data" model to analyze road images captured through drones or CCTVs, identify the severity and location of potholes or rough surfaces, and plan maintenance or repair accordingly.
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Driving Safety Improvement: The model can be integrated into vehicle navigation systems or driving assistant apps. It can notify the driver about upcoming rough surfaces or potholes, helping them to drive more safely and avoid potential damages to the vehicle.
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Incident Reporting: Mobile apps can use the model to allow citizens to report potholes or rough road surface conditions simply by uploading a photo. The model can automatically identify the issue, leading to more efficient reporting, tracking, and resolving of road issues.
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Insurance Claim Validation: Insurance companies can use this model to assess damage claims related to potholes or rough surfaces. By analyzing accident photos, they can determine if the damage might indeed have been caused by a pothole or rough surface, helping to legitimize or dispute claims.
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Infrastructure Quality Assessment: Government entities can use the model to monitor and assess the condition of the road infrastructure over time. By analyzing vast amounts of images, they can spot deteriorating conditions earlier and plan for necessary upgrades or repairs.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
c_v-new_data_dataset,
title = { C_V New_Data Dataset },
type = { Open Source Dataset },
author = { Delhi Technological University },
howpublished = { \url{ https://universe.roboflow.com/delhi-technological-university-ymg8h/c_v-new_data } },
url = { https://universe.roboflow.com/delhi-technological-university-ymg8h/c_v-new_data },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { dec },
note = { visited on 2024-12-31 },
}