YOLOv5s-BC: An improved YOLOv5s-based method for real-time apple detection
To address the issues associated with the existing algorithms for the current apple detection, this study proposes an improved YOLOv5s-based method, named YOLOv5s-BC, for real-time apple detection, in which a series of modifications have been introduced.
Liu, Jingfan, Liu, Zhaobing
core +2 more sources
IVP-YOLOv5: an intelligent vehicle-pedestrian detection method based on YOLOv5s
Computer vision is now vital in intelligent vehicle environment perception systems. However, real-time small-scale pedestrian detection in intelligent vehicle environment perception systems is still needs to be improved.
Yang Sun +5 more
doaj +2 more sources
A Fast and Real-Time Machine Vision Evaluation System for Size Grading of <i>Agaricus bisporus</i> Based on Video. [PDF]
In this study, to address the problem of high cost and strong subjectivity of artificial grading of Agaricus bisporus, we propose a fast real‐time video‐based machine vision grading system, which achieves high‐speed grading of 1066.67 mushrooms per minute with an accuracy of 97.87% by lightweighting the YOLOv5 model and optimizing the balance between ...
Shui Q +5 more
europepmc +2 more sources
YOLOv5s-SA: Light-Weighted and Improved YOLOv5s for Sperm Detection
Sperm detection performance is particularly critical for sperm motility tracking. However, there are a large number of non-sperm objects, sperm occlusion and poorly detailed texture features in semen images, which directly affect the accuracy of sperm detection.
Ronghua Zhu +6 more
openaire +3 more sources
MT-YOLOv5: Mobile terminal table detection model based on YOLOv5 [PDF]
Abstract Table detection is an important task of optical character recognition(OCR). At present, table detection for desktop applications has basically reached commercial requirements. With the advancement of informatization, personal demand for table detection has gradually increased.
Zixin Ning +3 more
openaire +1 more source
YOLOv5s-DSD: An Improved Aerial Image Detection Algorithm Based on YOLOv5s
Due to the challenges of small detection targets, dense target distribution, and complex backgrounds in aerial images, existing object detection algorithms perform poorly in aerial image detection tasks. To address these issues, this paper proposes an improved algorithm called YOLOv5s-DSD based on YOLOv5s.
Chaoyue Sun +4 more
openaire +3 more sources
GRP-YOLOv5: An Improved Bearing Defect Detection Algorithm Based on YOLOv5
Currently, most chemical transmission equipment relies on bearings to support rotating shafts and to transmit power. However, bearing defects can lead to a series of failures in the equipment, resulting in reduced production efficiency. To prevent such occurrences, this paper proposes an improved bearing defect detection algorithm based on YOLOv5 ...
Yue Zhao +5 more
openaire +3 more sources
YOLOv5-AC: Attention Mechanism-Based Lightweight YOLOv5 for Track Pedestrian Detection
In response to the dangerous behavior of pedestrians roaming freely on unsupervised train tracks, the real-time detection of pedestrians is urgently required to ensure the safety of trains and people. Aiming to improve the low accuracy of railway pedestrian detection, the high missed-detection rate of target pedestrians, and the poor retention of non ...
Haohui Lv +4 more
openaire +3 more sources
YOLOv5-OCDS: An Improved Garbage Detection Model Based on YOLOv5
As the global population grows and urbanization accelerates, the garbage that is generated continues to increase. This waste causes serious pollution to the ecological environment, affecting the stability of the global environmental balance. Garbage detection technology can quickly and accurately identify, classify, and locate many kinds of garbage to ...
Qiuhong Sun +3 more
openaire +1 more source
Coal gangue target detection of belt conveyor based on YOLOv5s-SDE
Traditional coal gangue image detection methods require manual extraction of image features. The methods have low accuracy and practicality. The existing coal gangue target detection methods based on improved YOLO have improved in speed and precision ...
ZHANG Lei +4 more
doaj +1 more source

