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DamageLocation Computer Vision Project

DamageDetection

Updated 2 years ago

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Tags
Object Detection Model
Classes (19)
Back Door
Back Window
Broken Headlight
Broken Windshield
Bumper
Bumper Damage
Car Dent
Fender
Fender Damage
Front Door
Front Headlight
Front Window
Front Windscreen
Rear Bumper
Rear Bumper Damage
Rear Fender
Rear Headlight
Scratch

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Description

Here are a few use cases for this project:

  1. Insurance Claims Processing: Streamline the process of submitting and analyzing car insurance claims by automatically identifying and categorizing car damage in submitted photos, allowing insurance providers to assess the extent of the damage and expedite claim processing.

  2. Car Rental Inspections: Enhance the efficiency and accuracy of car rental inspections by using the DamageLocation model to identify and document any pre-existing damages when a customer picks up or returns a vehicle, protecting both the car rental company and the customer from disputes.

  3. Auto Repair Shops: Assist technicians in auto repair shops to quickly evaluate the type and extent of car damage by processing images of the damaged vehicles, helping them to create accurate repair quotes and prioritize repairs based on the severity of the damage.

  4. Online Car Auctions: Improve the credibility and transparency of online car auction platforms by using the DamageLocation model to detect and highlight any potential damages in the car images, allowing bidders to make informed decisions on their purchases.

  5. Vehicle Maintenance Apps: Enhance vehicle maintenance apps' functionality by incorporating the DamageLocation model to analyze images captured by the users, providing personalized feedback and recommendations for car damage repair, and connecting users to appropriate local service providers.

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Cite This Project

LICENSE
CC BY 4.0

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

                        @misc{
                            damagelocation_dataset,
                            title = { DamageLocation Dataset },
                            type = { Open Source Dataset },
                            author = { DamageDetection },
                            howpublished = { \url{ https://universe.roboflow.com/damagedetection-hloj4/damagelocation } },
                            url = { https://universe.roboflow.com/damagedetection-hloj4/damagelocation },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { sep },
                            note = { visited on 2024-11-17 },
                            }

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