Results 11 to 20 of about 5,295 (214)

YOLOv5s-BC: an improved YOLOv5s-based method for real-time apple detection

open access: yesJournal of Real-Time Image Processing, 2023
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.
Jingfan Liu, Zhaobing Liu
openaire   +3 more sources

A Fast and Real-Time Machine Vision Evaluation System for Size Grading of <i>Agaricus bisporus</i> Based on Video. [PDF]

open access: yesFood Sci Nutr
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

A Counting Method of Red Jujube Based on Improved YOLOv5s [PDF]

open access: yes, 2022
Due to complex environmental factors such as illumination, shading between leaves and fruits, shading between fruits, and so on, it is a challenging task to quickly identify red jujubes and count red jujubes in orchards.
Guo, Jiapan   +6 more
core   +2 more sources

Automated Identification of Wood Surface Defects Based on Deep Learning [PDF]

open access: yes, 2023
Wood plates are widely used in the interior design of houses primarily for their aesthetic value. However, considering its esthetical values, surface defect detection is necessary. The development of computer vision and CNN-based object detection methods
Hardt, Wolfram   +2 more
core   +2 more sources

Research on multi object detection in mining face based on FBEC-YOLOv5s

open access: yesGong-kuang zidonghua, 2023
A multi object detection algorithm based on FBEC-YOLOv5s is proposed to address the issues of reduced detection precision caused by large object scale spans, severe obstruction between multiple objects, and harsh environments in mining faces.
ZHANG Hui, SU Guoyong, ZHAO Dongyang
doaj   +1 more source

Attention Mechanism and Detection Box Information Based Real-time Multi-Object Vehicle Detection [PDF]

open access: yes, 2022
Ensuring both the accuracy of vehicle target detection and meeting real-time requirements is crucial in traffic videos. The YOLOv5s target detection framework, known for its accuracy and efficiency, has attracted attention in academic circles.
Cao, Fengyun   +4 more
core   +2 more sources

Lightweight YOLOv5s Human Ear Recognition Based on MobileNetV3 and Ghostnet

open access: yesApplied Sciences, 2023
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   +1 more source

Coal gangue target detection of belt conveyor based on YOLOv5s-SDE

open access: yesGong-kuang zidonghua, 2023
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

YOLOv5-OCDS: An Improved Garbage Detection Model Based on YOLOv5

open access: yesElectronics, 2023
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

A lightweight ship target detection model based on improved YOLOv5s algorithm.

open access: yesPLoS ONE, 2023
Real-time and accurate detection of ships plays a vital role in ensuring navigation safety and ship supervision. Aiming at the problems of large parameters, large computation quantity, poor real-time performance, and high requirements for memory and ...
Yuanzhou Zheng   +7 more
doaj   +2 more sources

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