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SmartCity_RoadCondition

Object Detection

276 images

SmartCity_RoadCondition Computer Vision Project

SmartCityRoad

Updated a year 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

36.1%

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

Precision

58.8%

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

Recall

41.8%

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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{
                            smartcity_roadcondition_dataset,
                            title = { SmartCity_RoadCondition Dataset },
                            type = { Open Source Dataset },
                            author = { SmartCityRoad },
                            howpublished = { \url{ https://universe.roboflow.com/smartcityroad/smartcity_roadcondition } },
                            url = { https://universe.roboflow.com/smartcityroad/smartcity_roadcondition },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { apr },
                            note = { visited on 2025-03-25 },
                            }