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Road Damage Detection Computer Vision Project

Road Damage Detection

Updated 9 months ago

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Metrics

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

mAP

33.5%

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

Precision

48.4%

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

Recall

34.1%

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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:

                        
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@misc{
                            road-damage-detection-yeutg_dataset,
                            title = { Road Damage Detection Dataset },
                            type = { Open Source Dataset },
                            author = { Road Damage Detection },
                            howpublished = { \url{ https://universe.roboflow.com/road-damage-detection-fyihz/road-damage-detection-yeutg } },
                            url = { https://universe.roboflow.com/road-damage-detection-fyihz/road-damage-detection-yeutg },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { jul },
                            note = { visited on 2025-03-22 },
                            }