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Developing Deep Vision-based Advanced Defects Detection System for Roads in Oman

Object Detection

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Developing Deep Vision-based Advanced Defects Detection System for Roads in Oman Computer Vision Project

cas sohar

Updated 2 years 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

25.6%

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

Precision

56.3%

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

Recall

26.0%

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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{
                            developing-deep-vision-based-advanced-defects-detection-system-for-roads-in-oman_dataset,
                            title = { Developing Deep Vision-based Advanced Defects Detection System for Roads in Oman Dataset },
                            type = { Open Source Dataset },
                            author = { cas sohar },
                            howpublished = { \url{ https://universe.roboflow.com/cas-sohar/developing-deep-vision-based-advanced-defects-detection-system-for-roads-in-oman } },
                            url = { https://universe.roboflow.com/cas-sohar/developing-deep-vision-based-advanced-defects-detection-system-for-roads-in-oman },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { may },
                            note = { visited on 2025-03-31 },
                            }