Car Parking Space Detection Using YOLOv8

Muhammad Sobirin, Tiorivaldi, Choirul Mufit

2023

Abstract

For many years, parking has been a major issue in many cities all around the world. Air pollution and traffic congestion can be decreased by providing information about available parking spaces. Thus, the purpose of this study is to use YOLOv8 algorithm to identify the quantity of cars and available spaces in parking lots. Videos were captured with a camera in different scenarios at UTA'45 Jakarta, and the dataset was prepared by extracting frames from these videos. There are no pre-labeled images in the dataset, so all of the images have been manually annotated. Multiple object detection has been accomplished by implementing YOLOv8 algorithm to detect cars and available spaces. This paper discusses two architectures: YOLOv8 and YOLOv5. The performance of various designs is assessed by comparing the precision, recall, and mAP values. YOLOv8 performs better than YOLOv5 when both performances are applied. In terms of mAP 0.5, mAP 0.5:0.95, and recall, the YOLOv8 model performs better than the YOLOv5 model; the differences in the values of each performance are 0.8%, 1.6%, and 1.2%. With a 0.5% difference in accuracy performance value, the YOLOv5 model outperforms the YOLOv8 model.

Paper Citation

in Harvard Style

Sobirin M., Tiorivaldi. and Mufit C. (2023). Car Parking Space Detection Using YOLOv8. In Proceedings of the 4th International Seminar and Call for Paper - Volume 1: ISCP UTA '45 JAKARTA; ISBN 978-989-758-691-0, SciTePress, pages 394-398. DOI: 10.5220/0012582600003821

in Bibtex Style

@conference{iscp uta '45 jakarta23,
author={Muhammad Sobirin and Tiorivaldi and Choirul Mufit},
title={Car Parking Space Detection Using YOLOv8},
booktitle={Proceedings of the 4th International Seminar and Call for Paper - Volume 1: ISCP UTA '45 JAKARTA},
year={2023},
pages={394-398},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012582600003821},
isbn={978-989-758-691-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 4th International Seminar and Call for Paper - Volume 1: ISCP UTA '45 JAKARTA
TI - Car Parking Space Detection Using YOLOv8
SN - 978-989-758-691-0
AU - Sobirin M.
AU - Tiorivaldi.
AU - Mufit C.
PY - 2023
SP - 394
EP - 398
DO - 10.5220/0012582600003821
PB - SciTePress