SaudiRD Computer Vision Project

ManalBitesBytes

Updated 22 days ago

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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 = { dec },
                            note = { visited on 2024-12-28 },
                            }