Analyzing Airplane Detection Performance with YOLOv4 by using Synthetic Data Domain Randomization

Houssem-Eddine Benseddik, Ariane Herbulot, Ariane Herbulot, Michel Devy

2022

Abstract

This paper proposes a novel approach to generate a synthetic dataset through domain randomization, to address the problem of real-time airplane detection on airport zones with high accuracy. Most solutions have been employed and developed across satellite images with deep learning techniques. Our approach specifically targets airplane detection on complex airport environment using deep learning approach as YOLOv4. To improve training, a large amount of annotated training data are required for good performance. To address this issue, this study proposes the use of synthetic training data. There is however a large performance gap between methods trained on real and synthetic data. This paper introduces a new method, which bridges this gap based upon Domain Randomization. The approach is evaluated on bounding box detection of airplanes on the FGVC-Aircraft dataset.

Paper Citation

in Harvard Style

Benseddik H., Herbulot A. and Devy M. (2022). Analyzing Airplane Detection Performance with YOLOv4 by using Synthetic Data Domain Randomization. In Proceedings of the 8th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS, ISBN 978-989-758-573-9, pages 425-431. DOI: 10.5220/0011089500003191

in Bibtex Style

@conference{vehits22,
author={Houssem-Eddine Benseddik and Ariane Herbulot and Michel Devy},
title={Analyzing Airplane Detection Performance with YOLOv4 by using Synthetic Data Domain Randomization},
booktitle={Proceedings of the 8th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,},
year={2022},
pages={425-431},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011089500003191},
isbn={978-989-758-573-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 8th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,
TI - Analyzing Airplane Detection Performance with YOLOv4 by using Synthetic Data Domain Randomization
SN - 978-989-758-573-9
AU - Benseddik H.
AU - Herbulot A.
AU - Devy M.
PY - 2022
SP - 425
EP - 431
DO - 10.5220/0011089500003191