Name: car-damage Dataset
License: https://creativecommons.org/licenses/by/4.0/

Images

51 images

Explore Dataset

Here are a few use cases for this project:

Vehicle Insurance Claim Processing: Speed up and improve the accuracy of evaluating car insurance claims by analyzing car damage levels, specifically identifying paint-related damages such as faded paint, scratches, and paint peel-out.
Automotive Repair Services: Assist car repair shops in better estimating costs and time required for repairing paint damage by identifying paint-peel-out classes, allowing technicians to recommend appropriate paint services to clients.
Used Car Evaluation and Pricing: Provide accurate appraisal of vehicles in the used car market by assessing paint-related conditions like scratches, faded paint, and paint peel-out, helping sellers and buyers negotiate a fair price based on the vehicle's appearance.
Car Rental Agencies: Enhance car rental agencies' ability to track and document vehicle conditions, specifically paint damages, by automatically cataloging identified damages for proper assessment and follow-up with customers, reducing disputes over liability for paint damage.
Road Accident Analysis: Support law enforcement and accident analysts in improving accident documentation and understanding of involved vehicles' conditions, including semi-visible paint damages that can provide crucial information about incidents and their outcomes.

Cite This Project

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

@misc{
                            car-damage-osbpo_dataset,
                            title = { car-damage Dataset },
                            type = { Open Source Dataset },
                            author = { testcpm },
                            howpublished = { \url{ https://universe.roboflow.com/testcpm-tm8c7/car-damage-osbpo } },
                            url = { https://universe.roboflow.com/testcpm-tm8c7/car-damage-osbpo },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { mar },
                            note = { visited on 2024-05-02 },
                            }