Car Damage Detection Object Detection Dataset and Pre-Trained Model by CAPSTONE

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Explore Dataset

Here are a few use cases for this project:

Insurance Claims Processing: This model could be used by insurance companies to automate the process of accident reports and insurance claims. Users could submit pictures of their damaged cars, and the model would help identify the damaged parts, thus speeding up the claims-processing time.
Auto Repair Estimates: Auto repair shops could use the model to provide online estimates for car repairs. Customers could upload images of their damaged cars, and the model could identify the damage, aiding in determining the cost of repair.
Car Resale Platforms: Online platforms for buying and selling used cars could implement this model. It would help in assessing the condition of cars being sold, providing a more accurate value and informing potential buyers about any damage.
Automatic Vehicle Inspection: The model could be deployed in vehicle inspection stations. It could help automatically identify any damage, saving time and increasing the efficiency of inspection processes.
Parking Lot Monitoring: The model could be integrated into security cameras at parking lots. It would aid in detecting any damage done to parked cars, helping to identify instances of collisions or vandalism swiftly.

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.

YOLOv8

This project has a YOLOv8 model checkpoint available for inference with Roboflow Deploy. YOLOv8 is a new state-of-the-art real-time object detection model.

Cite This Project

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

@misc{
                            car-damage-detection-t0g92_dataset,
                            title = { Car Damage Detection Dataset },
                            type = { Open Source Dataset },
                            author = { CAPSTONE },
                            howpublished = { \url{ https://universe.roboflow.com/capstone-nh0nc/car-damage-detection-t0g92 } },
                            url = { https://universe.roboflow.com/capstone-nh0nc/car-damage-detection-t0g92 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-04-27 },
                            }