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...
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-07-01
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Series: | Electronics |
Subjects: | |
Online Access: | https://www.mdpi.com/2079-9292/12/14/3089 |