Carpark and License Plate with Illegal parking Computer Vision Project
Updated 5 months ago
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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 four classes: "Occupied", "Empty", "LicensePlate", and "Illegal". "Occupied" indicates a parked vehicle. "Empty" indicates a vacant parking space. "LicensePlate" indicates the license plate found on each vehicle. "Illegal" indicates vehicles that are parked illegally.
The YOLOv8 algorithm is to used to develop an Integrated UAV-Based Automated Parking Monitoring and Enforcement System.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
carpark-and-license-plate-with-illegal-parking_dataset,
title = { Carpark and License Plate with Illegal parking Dataset },
type = { Open Source Dataset },
author = { Chung Yi Lai },
howpublished = { \url{ https://universe.roboflow.com/chung-yi-lai/carpark-and-license-plate-with-illegal-parking } },
url = { https://universe.roboflow.com/chung-yi-lai/carpark-and-license-plate-with-illegal-parking },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { jun },
note = { visited on 2024-11-08 },
}