Mohammad Almansoori

Car Damage Test

Object Detection

Car Damage Test Computer Vision Project

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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{ car-damage-test-lqgll_dataset,
    title = { Car Damage Test Dataset },
    type = { Open Source Dataset },
    author = { Mohammad Almansoori },
    howpublished = { \url{ https://universe.roboflow.com/mohammad-almansoori-ijrkp/car-damage-test-lqgll } },
    url = { https://universe.roboflow.com/mohammad-almansoori-ijrkp/car-damage-test-lqgll },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { aug },
    note = { visited on 2023-12-06 },
}

Find utilities and guides to help you start using the Car Damage Test project in your project.

Last Updated

4 months ago

Project Type

Object Detection

Subject

damage

Classes

Front-Windscreen-Damage, Headlight-Damage, Rear-windscreen-Damage, RunningBoard-Dent, Sidemirror-Damage, Signlight-Damage, Taillight-Damage, bonnet-dent, doorouter-dent, fender-dent, front-bumper-dent, pillar-dent, quaterpanel-dent, rear-bumper-dent, roof-dent

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License

CC BY 4.0