Low-Light Image Object Detection Based on Improved YOLOv5 Algorithm

Ziting Shu; Zebin Zhang; Yaozhe Song; Mengmeng Wu; Xiaobing Yuan

doi:10.3788/LOP212965

Laser & Optoelectronics Progress, Volume. 60, Issue 4, 0404001(2023)

Low-Light Image Object Detection Based on Improved YOLOv5 Algorithm

Ziting Shu^1,2, Zebin Zhang^1,2, Yaozhe Song^1,2, Mengmeng Wu^1,2, and Xiaobing Yuan^1、*

¹Key Laboratory of Microsystem Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 201800, China

²University of Chinese Academy of Sciences, Beijing 100049, China

show less

Abstract Get PDF(in Chinese)

Cited By

Article index updated: Mar. 14, 2025

The article is cited by 2 article(s) CLP online library. (Some content might be in Chinese.)

Tools

Get Citation

Copy Citation Text

Ziting Shu, Zebin Zhang, Yaozhe Song, Mengmeng Wu, Xiaobing Yuan. Low-Light Image Object Detection Based on Improved YOLOv5 Algorithm[J]. Laser & Optoelectronics Progress, 2023, 60(4): 0404001

Download Citation

EndNote(RIS)BibTex Plain Text

Set citation alerts for article

Save article for my favorites

Paper Information

Category: Detectors

Received: Nov. 16, 2021

Accepted: Dec. 24, 2021

Published Online: Feb. 14, 2023

The Author Email: Yuan Xiaobing (yuanxb@mail.sim.ac.cn)

DOI:10.3788/LOP212965

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology