Research on Improved YOLOv5 for Low-Light Environment Object Detection

Research on Improved YOLOv5 for Low-Light Environment Object Detection

Object detection in low-light scenarios has been widely acknowledged as a significant research area in the field of computer vision, presenting a challenging task. Aiming at the low detection accuracy of mainstream single-stage object detection models in low-light scenarios, this paper proposes a de...

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Bibliographic Details
Main Authors: Jing Wang, Peng Yang, Yuansheng Liu, Duo Shang, Xin Hui, Jinhong Song, Xuehui Chen
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Electronics
Subjects:
low-light scenarios
object detection
image enhancement
YOLOv5
underground mine scenarios
Online Access:https://www.mdpi.com/2079-9292/12/14/3089

Internet

https://www.mdpi.com/2079-9292/12/14/3089

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