MiniProject

Road Damage Classification

Object Detection

Roboflow Universe MiniProject Road Damage Classification

Road Damage Classification Computer Vision Project

TRY THIS MODEL
Drop an image or

Images

800 images
Explore Dataset

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

YOLOv8

This project has a YOLOv8 model checkpoint available for inference with Roboflow Deploy. YOLOv8 is a new state-of-the-art real-time object detection model.

Cite this Project

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

@misc{ road-damage-classification-ehabm_dataset,
    title = { Road Damage Classification Dataset },
    type = { Open Source Dataset },
    author = { MiniProject },
    howpublished = { \url{ https://universe.roboflow.com/miniproject-k07dx/road-damage-classification-ehabm } },
    url = { https://universe.roboflow.com/miniproject-k07dx/road-damage-classification-ehabm },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { aug },
    note = { visited on 2023-12-05 },
}

Find utilities and guides to help you start using the Road Damage Classification project in your project.

Source

MiniProject

Last Updated

4 months ago

Project Type

Object Detection

Subject

Road-Damages

Classes

D00 - Wheel mark part, D01 - Construction joint part(Lon), D10 - Equal Interval, D11 - Construction joint part(Lat), D11 - Construction joint part(Lateral), D20 - Partial Pavement, D40 - Pothole, D43 - Cross WalkBlur, D44 - White Line Blur

Views: 147

Views in previous 30 days: 53

Downloads: 11

Downloads in previous 30 days: 0

License

CC BY 4.0