Object Detection

Roboflow Universe Sindhu Car_Dent_Scratch_Detection(1)

Car_Dent_Scratch_Detection(1) Computer Vision Project

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Here are a few use cases for this project:

  1. Insurance Claims Processing: Car_Dent_Scratch_Detection(1) can be utilized by insurance companies to streamline their claims processing by automatically detecting, assessing, and documenting car damage. The model can quickly identify the type and extent of damage, enabling insurance adjusters to verify claims and estimate repair costs more accurately.

  2. Automotive Repair Estimation: Car repair shops can use Car_Dent_Scratch_Detection(1) to provide accurate repair estimates to customers. By analyzing images of damaged vehicles, the model can identify the damaged areas and necessary repairs, allowing mechanics to more efficiently quote and plan the repairs needed.

  3. Vehicle Auctions / Used Car Sales: The model can be integrated into vehicle auction platforms or used car sales websites to automatically assess the condition of each vehicle. By identifying and documenting the damage, the system can create comprehensive vehicle condition reports, ensuring more transparent transactions for both sellers and buyers.

  4. Fleet Management: Companies managing a fleet of vehicles can use Car_Dent_Scratch_Detection(1) to monitor the condition of their vehicles regularly, identifying any damage or required maintenance. This allows for timely repairs, reducing downtime and ensuring the fleet remains in optimal condition.

  5. Accident Reconstruction: Car_Dent_Scratch_Detection(1) can be employed by accident reconstruction experts to analyze images from the scene of an accident. By detecting and categorizing the damage, experts can better understand the sequence of events leading up to the accident and assist in determining the cause and liability.

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_dent_scratch_detection-1_dataset,
    title = { Car_Dent_Scratch_Detection(1) Dataset },
    type = { Open Source Dataset },
    author = { Sindhu },
    howpublished = { \url{ } },
    url = { },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2022 },
    month = { dec },
    note = { visited on 2023-12-02 },

Find utilities and guides to help you start using the Car_Dent_Scratch_Detection(1) project in your project.



Last Updated

a year ago

Project Type

Object Detection




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

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CC BY 4.0