CF1-540-620 Computer Vision Project
Updated a year ago
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downloadsHere are a few use cases for this project:
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Pavement Maintenance: Companies in the pavement maintenance and repair industry can utilize this model to identify and categorize pavement defects, helping them prioritize their work schedule and optimize resources.
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Infrastructure Inspection: Government agencies can use this model to regularly monitor infrastructure such as roads or sidewalks to identify the type and severity of pavement defects and plan their public works budget accordingly.
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City Planning: Urban planners could use this model to assess the quality of existing infrastructure and help inform their decisions when planning for new infrastructure.
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Real Estate Development: In real-estate development, this model could assess conditions of existing infrastructures such as roads and sidewalks, which might influence property value or indicate necessary repairs before any development could occur.
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Drones for Surface Monitoring: Drones equipped with cameras could use this model to monitor large transportation networks (like highways or airport runways) or inaccessible areas, providing regular status updates on pavement condition.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
cf1-540-620-xnoaq_dataset,
title = { CF1-540-620 Dataset },
type = { Open Source Dataset },
author = { BAHIA BR116 CF1 PS pt3 },
howpublished = { \url{ https://universe.roboflow.com/bahia-br116-cf1-ps-pt3-ihgrj/cf1-540-620-xnoaq } },
url = { https://universe.roboflow.com/bahia-br116-cf1-ps-pt3-ihgrj/cf1-540-620-xnoaq },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { jun },
note = { visited on 2024-11-25 },
}