Name: Damage/NoDamage Dataset
License: https://creativecommons.org/licenses/by/4.0/

Images

1071 images

Explore Dataset

Here are a few use cases for this project:

Insurance Claim Processing: The model can be used to expedite processing of insurance claims by quickly categorizing whether a vehicle has been damaged or not from uploaded incident photos. This can help insurance agents prioritize claims and perform investigations more efficiently.
Vehicle Rental Services: This model can be useful for rental agencies to automatically validate the state of their vehicles when they are returned by customers. It will allow them to spot any new damages without the need of manual inspection.
Online Marketplace Quality Control: Online platforms for buying/selling used cars can provide an additional layer of quality control before listings go live. Sellers can submit photos of their vehicles which are then analyzed using this model to verify the condition of the car.
Traffic Management and Law Enforcement: The model can be used by traffic authorities or law enforcement agencies to automatically identify and classify damaged vehicles from CCTV or drone footage during accidents, which can assist in accident location, investigation and traffic management.
Automated Driving Systems: In autonomous vehicles, this solution can be an integral part of the system to detect and avoid damaged cars on the road, contributing to safer driving conditions.

Cite This Project

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

@misc{
                            damage-nodamage-9fttc_dataset,
                            title = { Damage/NoDamage Dataset },
                            type = { Open Source Dataset },
                            author = { car damagenodamage },
                            howpublished = { \url{ https://universe.roboflow.com/car-damagenodamage/damage-nodamage-9fttc } },
                            url = { https://universe.roboflow.com/car-damagenodamage/damage-nodamage-9fttc },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { aug },
                            note = { visited on 2024-04-25 },
                            }