Research on Winter Jujube Object Detection Based on Optimized Yolov5s
Winter jujube is a popular fresh fruit in China for its high vitamin C nutritional value and delicious taste. In terms of winter jujube object detection, in machine learning research, small size jujube fruits could not be detected with a high accuracy ...
Zhouzhou Zheng +2 more
exaly +4 more sources
An improved YOLOv5s model using feature concatenation with attention mechanism for real-time fruit detection and counting [PDF]
An improved YOLOv5s model was proposed and validated on a new fruit dataset to solve the real-time detection task in a complex environment. With the incorporation of feature concatenation and an attention mechanism into the original YOLOv5s network, the ...
Olarewaju Mubashiru Lawal
exaly +4 more sources
YOLOv5s-TC: An Improved Intelligent Model for Insulator Fault Detection Based on YOLOv5s. [PDF]
Insulators play a pivotal role in power grid infrastructure, offering indispensable electrical insulation and mechanical support. Precise and efficient detection of insulator faults is of paramount importance for safeguarding grid reliability and ensuring operational safety.
Yin Y, Duan Y, Wang X, Han S, Zhou C.
europepmc +5 more sources
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.
Zhaobing Liu, Liu Zhaobing
exaly +4 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 +4 more sources
Lightweight YOLOv5s Human Ear Recognition Based on MobileNetV3 and Ghostnet
Ear recognition is a biometric identification technology based on human ear feature information, which can not only detect the human ear in the picture but also determine whose human ear it is, so human identity can be verified by human ear recognition ...
Yanmin Lei +3 more
doaj +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
Lightweight Human Ear Recognition Based on Attention Mechanism and Feature Fusion
With the development of deep learning technology, more and more researchers are interested in ear recognition. Human ear recognition is a biometric identification technology based on human ear feature information and it is often used for authentication ...
Yanmin Lei +3 more
doaj +1 more source
Research on coal and gangue detection algorithm based on improved YOLOv5s model
In order to solve the problems of slow detection speed and low detection precision of the existing deep learningbased coal and gangue target detection methods, an improved YOLOv5s model is proposed and applied to coal and gangue target detection.
SHEN Ke1,2 +3 more
doaj +1 more source
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

