Motorcycle LP Computer Vision Project

BEProject

Updated 2 years ago

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Classes (4)
licensePlate motorcycle
withHelmet
withoutHelmet

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Description

Here are a few use cases for this project:

  1. Traffic rule enforcement: The "Motorcycle LP" model could be used in traffic surveillance to identify violators who aren't wearing helmets for law enforcement purposes.

  2. Motorcycle theft detection: Motorcycle registration plates can be flagged and monitored using this model, providing tools for theft detection and tracking.

  3. Parking management: This model can facilitate automated vehicle identification on motorcycle parking lots, allowing automatic charge calculation based on license plate recognition.

  4. Insurance claim processing: For incidents involving motorcycles, this model could be used to quickly identify involved parties and their insurance details, thereby speeding up claim processing.

  5. Road safety research: Researchers could utilize this model to analyze correlation between helmet usage and accident rates, providing critical data that could inform safety regulations and public policy.

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Cite This Project

LICENSE
CC BY 4.0

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

                        @misc{
                            motorcycle-lp_dataset,
                            title = { Motorcycle LP Dataset },
                            type = { Open Source Dataset },
                            author = { BEProject },
                            howpublished = { \url{ https://universe.roboflow.com/beproject-gddlj/motorcycle-lp } },
                            url = { https://universe.roboflow.com/beproject-gddlj/motorcycle-lp },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jun },
                            note = { visited on 2024-12-22 },
                            }
                        
                    

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