Name: LP_OCR_v3_complete Dataset
License: https://choosealicense.com/licenses/mit/

Images

1329 images

Explore Dataset

Here are a few use cases for this project:

Traffic monitoring and management: Use LP_OCR_v3_complete to automatically recognize license plates at traffic intersections, parking garages, and toll booths, enabling efficient traffic flow management and minimizing congestion.
Law enforcement and security: Apply the model to assist in identifying stolen vehicles, track vehicles associated with criminal investigations, or monitor restricted areas, providing valuable information to law enforcement agencies and improving public safety.
Parking management: The model can be applied in parking lots with smart cameras to record the entry and exit times of vehicles, automating payment calculation and ensuring proper use of allocated parking spaces.
Vehicle owner identification: LP_OCR_v3_complete can be combined with vehicle registration databases to facilitate quick identification of vehicle owners in case of violations, accidents, or emergencies.
Personalized marketing: Utilize the model to identify vehicles entering commercial areas, shopping centers, or car dealerships, allowing marketers to target specific customer segments and tailor advertisements based on the driver's vehicle registration information.

Cite This Project

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

@misc{
                            lp_ocr_v3_complete_dataset,
                            title = { LP_OCR_v3_complete Dataset },
                            type = { Open Source Dataset },
                            author = { Personal Workspace },
                            howpublished = { \url{ https://universe.roboflow.com/personal-workspace/lp_ocr_v3_complete } },
                            url = { https://universe.roboflow.com/personal-workspace/lp_ocr_v3_complete },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { jul },
                            note = { visited on 2024-04-23 },
                            }