SaudiRD 2 Computer Vision Project
ManalBitesBytes
Updated 15 days ago
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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Cite This Project
LICENSE
CC BY 4.0 If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
saudird-2_dataset,
title = { SaudiRD 2 Dataset },
type = { Open Source Dataset },
author = { ManalBitesBytes },
howpublished = { \url{ https://universe.roboflow.com/manalbitesbytes/saudird-2 } },
url = { https://universe.roboflow.com/manalbitesbytes/saudird-2 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { dec },
note = { visited on 2024-12-22 },
}