Case Study

Streetdamage

Object Detection

1

Streetdamage Computer Vision Project

Images

1177 images
Explore Dataset

D00 = Longitudinal Crack D10 = Lateral Crack D20 = Aligator Crack D50 = Manhole (in japanese dataset) D40 = Pothole D44 = whiteline (japan) (should drop)

Cite This Project

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

@misc{
                            streetdamage-oik3t_dataset,
                            title = { Streetdamage Dataset },
                            type = { Open Source Dataset },
                            author = { Case Study },
                            howpublished = { \url{ https://universe.roboflow.com/case-study-uvsze/streetdamage-oik3t } },
                            url = { https://universe.roboflow.com/case-study-uvsze/streetdamage-oik3t },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { dec },
                            note = { visited on 2024-04-26 },
                            }
                        

Connect Your Model With Program Logic

Find utilities and guides to help you start using the Streetdamage project in your project.

Source

Case Study

Last Updated

a year ago

Project Type

Object Detection

Subject

Street-damage

Views: 543

Views in previous 30 days: 17

Downloads: 19

Downloads in previous 30 days: 1

License

CC BY 4.0

Classes

Aligator Crack Alligator Crack Crack D00 D00rotation D10 D10rotation D20 D20rotation D40 D40rotation D43 D44 D50 Manhole Pothole Stone Pavement