Rotation object detection methods based on YOLOv5

Jialing Li; JinLong Chen; MingHao Yang; Hongding Zhang

doi:10.1117/12.2634453

12 May 2022 Rotation object detection methods based on YOLOv5

Jialing Li, JinLong Chen, MingHao Yang, Hongding Zhang

Proceedings Volume 12173, International Conference on Optics and Machine Vision (ICOMV 2022); 1217317 (2022) https://doi.org/10.1117/12.2634453
Event: International Conference on Optics and Machine Vision (ICOMV 2022), 2022, Guangzhou, China

Abstract

Recently, deep learning has been rapidly developed in the field of object detection. However, how to accurately and efficiently locate rotating objects is still a challenging task. This work adopts the YOLOv5 algorithm as a rotation detector to locate the rotated objects in images. We first analyze and discuss the angle parameter regression method now commonly used in angle prediction, the angle classification method and the circular smooth label rotation detection method. Then, we validate these methods in the widely recognized rotation target image DOTA dataset. The experiments show that the average accuracy of the three methods is about 72% on rotation objects detection, and among these three methods, the circular smooth label rotation detection method achieves the highest performance on the task of rotation prediction.

Citation Download Citation

Jialing Li, JinLong Chen, MingHao Yang, and Hongding Zhang "Rotation object detection methods based on YOLOv5", Proc. SPIE 12173, International Conference on Optics and Machine Vision (ICOMV 2022), 1217317 (12 May 2022); https://doi.org/10.1117/12.2634453

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
8 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Target detection

Sensors

Detection and tracking algorithms

Remote sensing

Target recognition

Convolution

Neural networks

Show All Keywords

Keywords/Phrases

Search In:

Publication Years