CF1-493-540 Computer Vision Project
Updated 2 years ago
33
views1
downloadHere are a few use cases for this project:
-
Infrastructure Maintenance: This model could be used by municipalities or government agencies to identify and monitor pavement conditions in real time. It would facilitate the process of spotting defects and planning maintenance tasks effectively.
-
Road Safety Enhancements: Autonomous vehicle companies could integrate this model into their system to recognize various pavement defects. This could improve safety by detecting defects in real time, enabling corrective actions to avoid them.
-
Construction Quality Assurance: Construction firms or civil engineering companies could use this system to ensure the quality of a newly laid pavement, identify defects, and monitor improvement over time.
-
Research and Development: Universities and civil engineering research institutions might utilize this model for studying pavement defects. It could contribute to research on pavement lifespan, material durability, and development of future road surfacing materials.
-
Roadway Audit: It can be utilized by audit firms specializing in public roadway inspection, offering insights regarding the pavement's condition, requirement of repair work, and ultimately contributing to efficient auditing.
Build Computer Vision Applications Faster with Supervision
Visualize and process your model results with our reusable computer vision tools.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
cf1-493-540_dataset,
title = { CF1-493-540 Dataset },
type = { Open Source Dataset },
author = { BAHIA BR116 CF1 PS pt2 },
howpublished = { \url{ https://universe.roboflow.com/bahia-br116-cf1-ps-pt2/cf1-493-540 } },
url = { https://universe.roboflow.com/bahia-br116-cf1-ps-pt2/cf1-493-540 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { jun },
note = { visited on 2025-02-16 },
}