Name: Detection2 Dataset
License: https://creativecommons.org/licenses/by/4.0/

Images

1708 images

Explore Dataset

Here are a few use cases for this project:

Road Maintenance: Municipalities or state departments can use this model to identify and locate potholes, cracks, and alligator-cracks on the roads. This can create more efficiency in road repairs and could potentially enhance driving safety by predicting areas of concern before significant damages occur.
Infrastructure Monitoring: Construction companies can use this model to identify cracks in the structures they are building. Early detection of such issues can lead to timely repair and might improve overall building safety and longevity.
Vehicle Damage Prevention: Vehicle navigation systems could incorporate this model to identify the presence of potholes, cracks, etc. and alert the driver or autonomously navigate around these road hazards, thus potentially reducing the chances of vehicle damage.
Insurance Claim Verification: The model could be used by insurance companies to validate claims related to vehicle damage caused by potholes, cracks, or alligator-cracks in roads.
Road Quality Assessment: Real estate agencies, property dealers, or urban planning departments can use this model to assess the quality and condition of nearby roads. This might influence property valuation or other infrastructure development plans.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            detection2-wyo5q_dataset,
                            title = { Detection2 Dataset },
                            type = { Open Source Dataset },
                            author = { Defect Road detection },
                            howpublished = { \url{ https://universe.roboflow.com/defect-road-detection/detection2-wyo5q } },
                            url = { https://universe.roboflow.com/defect-road-detection/detection2-wyo5q },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jun },
                            note = { visited on 2024-06-18 },
                            }