SaudiRD Computer Vision Project
ManalBitesBytes
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Description
“Deep Learning Approach for Automated Road Damage Detection,” aims to improve road maintenance in Saudi Arabia using deep learning. Manual road inspections are time-consuming, error-prone, and resource-intensive. The proposed solution leverages YOLOv5 and YOLOv8 models, enhanced by Weighted Boxes Fusion (WBF), for accurate detection of road damage such as cracks, potholes, and ruts
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LICENSE
CC BY 4.0 If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
saudird_dataset,
title = { SaudiRD Dataset },
type = { Open Source Dataset },
author = { ManalBitesBytes },
howpublished = { \url{ https://universe.roboflow.com/manalbitesbytes/saudird } },
url = { https://universe.roboflow.com/manalbitesbytes/saudird },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { nov },
note = { visited on 2024-11-25 },
}