license plate detector Object Detection Dataset and Pre-Trained Model by ibn tofail

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Explore Dataset

Here are a few use cases for this project:

Automated Parking: This model could be used in automated parking systems to recognize and authorize vehicles by reading their license plates. The system would enable the entry or exit of vehicles based on the license plate data.
Traffic Control Systems: The license plate detection model could be employed for automating traffic control systems, where they could keep track of traffic violations and monitor traffic flow.
Security Systems: It can be used in security and surveillance systems to monitor and log the movement of vehicles in sensitive areas, such as at the entrances of gated communities, parking lot of a company, or border crossings.
Toll Booth Automation: It can be used for automating toll booth operations. The system can automatically identify the license plate, and consequently charge the associated vehicle owner's account, thereby reducing waiting times.
Law Enforcement: Law enforcement agencies could use this model in their patrol cars to automatically recognize stolen cars or wanted vehicles based on their license plate.

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{
                            license-plate-detector-urj0d_dataset,
                            title = { license plate detector Dataset },
                            type = { Open Source Dataset },
                            author = { ibn tofail },
                            howpublished = { \url{ https://universe.roboflow.com/ibn-tofail-dbss7/license-plate-detector-urj0d } },
                            url = { https://universe.roboflow.com/ibn-tofail-dbss7/license-plate-detector-urj0d },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jan },
                            note = { visited on 2024-05-07 },
                            }