Carpark and License Plate Computer Vision Project
Updated 10 months ago
Metrics
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.
Use This Trained Model
Try it in your browser, or deploy via our Hosted Inference API and other deployment methods.
Build Computer Vision Applications Faster with Supervision
Visualize and process your model results with our reusable computer vision tools.
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 2024-11-22 },
}