CARS Object Detection Dataset and Pre-Trained Model by AZELIT

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Explore Dataset

Here are a few use cases for this project:

Auto Insurance Claims: The “CARS” model could be used by insurance companies to automate the process of verifying and categorizing car damage during the claims process. By evaluating images of the cars, accuracy of identifying dents and scratches can lead to more efficient and swift claim processing.
Car Dealerships or Rental Services: This model can be used in car dealerships or car rental services to identify existing damage on a vehicle before it is sold or rented out. It can help document the condition of the car to avoid future disputes about the origin of the damage.
Car Repair Services: In automotive repair shops, the model can be used to initially examine and document the extent of a car's damage. This can help mechanics make more accurate estimations for repairs and help customers understand the work that needs to be done.
Used Car Platforms: Online platforms selling used cars can implement the "CARS" model to ensure that seller descriptions of car condition are accurate. This ensures transparency and adds credibility to listed goods.
Fleet Management: For companies managing large fleets of vehicles, the model can be used for regular inspections, catching minor damages like dents and scratches early before they develop into bigger, more expensive problems. It can streamline the maintenance process and improve upkeep of the fleet.

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{ cars-czbp5_dataset,
    title = { CARS Dataset },
    type = { Open Source Dataset },
    author = { AZELIT },
    howpublished = { \url{ https://universe.roboflow.com/azelit-olmni/cars-czbp5 } },
    url = { https://universe.roboflow.com/azelit-olmni/cars-czbp5 },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { aug },
    note = { visited on 2023-12-08 },
}