Robomasters Object Detection Dataset and Pre-Trained Model by David Tang

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Explore Dataset

Here are a few use cases for this project:

Automated Parking System: The Robomasters computer vision model can be used to identify and read license plates for vehicles entering and exiting parking lots. The system can streamline the parking process by automatically tracking vehicle entry and exit times, calculating parking fees, and ensuring only authorized vehicles are granted access.
Traffic Management and Law Enforcement: The model can be employed by traffic monitoring authorities for detecting traffic violations like over-speeding, running red lights, or illegal parking. By reading and identifying license plates, the system can automatically issue fines or warnings to vehicle owners.
Toll Collection: Integrating the Robomasters model into toll booth systems can automate the toll collection process, speeding up wait times and reducing manual labor. By detecting and reading license plates, the system can directly charge users' accounts without requiring any physical interaction.
Vehicle Tracking and Surveillance: Use the Robomasters model in security and surveillance systems to track suspicious vehicles, monitor vehicles in restricted or sensitive areas, and assist in locating stolen or missing vehicles by identifying their license plates in real-time.
Gas Station and Retail Drive-thru Services: Implementing the Robomasters model in gas stations and retail drive-thru services can help in personalized customer experiences by identifying registered vehicles and offering tailored promotions, payment methods, or order history preferences based on the license plate data.

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{
                            robomasters-3zwcn_dataset,
                            title = { Robomasters Dataset },
                            type = { Open Source Dataset },
                            author = { David Tang },
                            howpublished = { \url{ https://universe.roboflow.com/david-tang-ojo9r/robomasters-3zwcn } },
                            url = { https://universe.roboflow.com/david-tang-ojo9r/robomasters-3zwcn },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { dec },
                            note = { visited on 2024-04-26 },
                            }