Cutmix-Plus: an improved helmet wear detection data enhancement technique

Yuhan Jiang; Hongying Lu; Tao Chen

doi:10.1117/12.3029707

21 June 2024 Cutmix-Plus: an improved helmet wear detection data enhancement technique

Yuhan Jiang, Hongying Lu, Tao Chen

Proceedings Volume 13167, International Conference on Remote Sensing, Mapping, and Image Processing (RSMIP 2024); 131672P (2024) https://doi.org/10.1117/12.3029707
Event: International Conference on Remote Sensing, Mapping and Image Processing (RSMIP 2024), 2024, Xiamen, China

Abstract

Deep learning has made significant advancements in the field of computer vision in recent years. However, research in target detection technology has primarily focused on improving the data reuse rate, model generalization capability, and detection accuracy. In this study, we propose a data improvement technique called CutMix-Plus, which utilizes the YOLOv5n baseline network. We validate this technique using publicly available datasets. The mAP@0.5 of this algorithm is 0.892, and the mAP@0.5-0.95 is 0.548. These values represent improvements of 7.6% and 4.8% for mAP@0.5, and 5.6% and 4.6% for mAP@0.5-0.95, respectively, when compared to the CutMix and Mosaic algorithms. The experimental findings demonstrate that the approach can significantly improve the model's ability to generalize and improve its accuracy. Additionally, it can meet the requirements for detecting helmet wearing in construction scenarios.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yuhan Jiang, Hongying Lu, and Tao Chen "Cutmix-Plus: an improved helmet wear detection data enhancement technique", Proc. SPIE 13167, International Conference on Remote Sensing, Mapping, and Image Processing (RSMIP 2024), 131672P (21 June 2024); https://doi.org/10.1117/12.3029707

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

Detection and tracking algorithms

Education and training

Data modeling

Image enhancement

Target detection

Deep learning

Head

Show All Keywords

Keywords/Phrases

Search In:

Publication Years