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Frontiers in Plant Science, 2023 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 Lawal
exaly +3 more sources
A Counting Method of Red Jujube Based on Improved YOLOv5s [PDF]
Agriculture (Switzerland), 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.
Yaohua HU, Zhouzhou Zheng
exaly +4 more sources
Research on Winter Jujube Object Detection Based on Optimized Yolov5s
Agronomy, 2023 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, Yaohua HU
exaly +3 more sources
Lightweight Human Ear Recognition Based on Attention Mechanism and Feature Fusion
Applied Sciences, 2023 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
Gong-kuang zidonghua, 2021 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
Automated Identification of Wood Surface Defects Based on Deep Learning [PDF]
, 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
Gong-kuang zidonghua, 2023 Due to complex environmental factors such as uneven illumination and high noise, unmanned electric locomotives in coal mines have low accuracy in multi object detection and difficulty in recognizing small objects.
ZHAO Wei, WANG Shuang, ZHAO Dongyang
doaj +1 more source
Research on multi object detection in mining face based on FBEC-YOLOv5s
Gong-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]
, 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
Applied 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