Car Identification Object Detection Dataset and Pre-Trained Model by Projects

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Explore Dataset

Here are a few use cases for this project:

Vehicle Inventory Management: The model could be integrated into an application to manage vehicle inventory at rental or dealership agencies. It could save time and resources by identifying the make and model of cars instantly, enabling organizations to track and categorize their available inventory efficiently.
Traffic Monitoring and Control: Government agencies could use the model in traffic management systems to automatically identify vehicles breaking traffic rules and regulations based on their make and model. This could streamline traffic surveillance and help enforce stricter obedience of laws.
Insurance Claim Verification: Insurance companies could make use of this model to verify claims. By identifying the make and model of cars involved in accidents, it would provide an extra layer of confirmation, facilitating faster and more accurate claim processing.
Augmented Reality Applications: In AR-based vehicle shopping apps, users could point their phones at any car they like to instantly get detailed information about the make and model. This would significantly enhance user experience.
Autonomous Vehicles: The model could be incorporated in the systems of autonomous cars to identify approaching vehicles' make and model. This could help the AI make informed decisions while maneuvering, contributing to safer autonomous travels.

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.

Cite This Project

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

@misc{
                            car-identification-o18dv_dataset,
                            title = { Car Identification Dataset },
                            type = { Open Source Dataset },
                            author = { Projects },
                            howpublished = { \url{ https://universe.roboflow.com/projects-dn4wc/car-identification-o18dv } },
                            url = { https://universe.roboflow.com/projects-dn4wc/car-identification-o18dv },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { sep },
                            note = { visited on 2024-05-06 },
                            }