Carpark and License Plate Computer Vision Project

Chung Yi Lai

Updated a year ago

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Description

This project contains the dataset used to train YOLOv8 Object Detection Algorithm.

All images are acquired using a drone that patrols a Malaysian parking lot. This dataset aims to detect three classes: Occupied, Empty, and LicensePlate. "Occupied" indicates an parked vehicle. "Empty" indicates a vacant parking space. Lastly, "LicensePlate" indicates the license plate found on each vehicles.

The YOLOv8 algorithm is to used to develop an Integrated UAV-Based Automated Parking Monitoring and Enforcement System.

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LICENSE

CC BY 4.0

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

                        @misc{
                            carpark-and-license-plate_dataset,
                            title = { Carpark and License Plate Dataset },
                            type = { Open Source Dataset },
                            author = { Chung Yi Lai },
                            howpublished = { \url{ https://universe.roboflow.com/chung-yi-lai/carpark-and-license-plate } },
                            url = { https://universe.roboflow.com/chung-yi-lai/carpark-and-license-plate },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { jan },
                            note = { visited on 2024-12-22 },
                            }