Roboflow Universe Chung Yi Lai Carpark and License Plate

Carpark and License Plate Computer Vision Project

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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.

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{
                            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 2024-06-24 },
                            }