293 images

Damage Road Computer Vision Project

university

Updated a year ago

Fork Project

views

downloads

Metrics

mAP is equal to the average of the Average Precision metric across all classes in a model. Learn more

mAP

71.9%

Precision measures how often your model's predictions are correct. Learn more

Precision

87.0%

Recall measures what percentage of relevant labels were successfully identified. Learn more

Recall

34.7%

Try This Model

Drop an image or

browse your device

A description for this project has not been published yet.

Use This Trained Model

Try it in your browser, or deploy via our Hosted Inference API and other deployment methods.

Try In Browser Deploy Model

Cite This Project

LICENSE

CC BY 4.0

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

                        
        highlighted
        
            
        
     
@misc{
                            damage-road_dataset,
                            title = { Damage Road Dataset },
                            type = { Open Source Dataset },
                            author = { university },
                            howpublished = { \url{ https://universe.roboflow.com/university-pucon/damage-road } },
                            url = { https://universe.roboflow.com/university-pucon/damage-road },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { nov },
                            note = { visited on 2025-03-05 },
                            }