Cars Object Detection Dataset and Pre-Trained Model by Systeminence

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Here are a few use cases for this project:

Law Enforcement/Security: The model will be beneficial for law enforcement agencies to track and identify stolen vehicles, suspicious vehicles, or vehicles involved in crimes based on plate numbers. It can also be used for parking violations or to monitor traffic congestions in real-time.
Parking Management: This model can be used in parking lots or garages to automatically read plate numbers and record the entry and exit of vehicles. It may also streamline the payment process by connecting the plate number with the owners' payment details.
Toll Collection: The model can be integrated into toll booth systems to automatically identify the vehicle type and plate number, facilitating automatic digital payment and reducing manual labor and waiting times.
Traffic Flow Management: Government or related transportation authorities could use this model to monitor road traffic, identify traffic patterns, and make data-driven decisions on road expansion or traffic light timings.
Shipping and Logistics: The model could be used in warehouses or shipping yards to identify, track, and manage trucks entering and exiting the premises, ensuring efficient logistical movement.

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{
                            cars-wbzjt_dataset,
                            title = { Cars Dataset },
                            type = { Open Source Dataset },
                            author = { Systeminence },
                            howpublished = { \url{ https://universe.roboflow.com/systeminence/cars-wbzjt } },
                            url = { https://universe.roboflow.com/systeminence/cars-wbzjt },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { sep },
                            note = { visited on 2024-04-27 },
                            }