ATTAINJavad

Pavement

Object Detection

Pavement Computer Vision Project

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310 images
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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.

Cite this Project

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

@misc{ pavement-z9qds_dataset,
    title = { Pavement Dataset },
    type = { Open Source Dataset },
    author = { ATTAINJavad },
    howpublished = { \url{ https://universe.roboflow.com/attainjavad/pavement-z9qds } },
    url = { https://universe.roboflow.com/attainjavad/pavement-z9qds },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { sep },
    note = { visited on 2023-12-11 },
}

Find utilities and guides to help you start using the Pavement project in your project.

Source

ATTAINJavad

Last Updated

3 months ago

Project Type

Object Detection

Subject

Saleh-Javad

Classes

Alligator crack - High, Alligator crack - Low, Block crack - Low, Faded marking - High, Faded marking - Low, Linear crack - High, Linear crack - Low, Patch - High, Patch - Low, Pothole - High, Pothole - Low, Raveling - High, Raveling - Low, Weathering - High, Weathering - Low

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Downloads: 2

Downloads in previous 30 days: 2

License

CC BY 4.0

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Road-defects
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