Results 111 to 120 of about 5,295 (214)
Lightweight remote sensing ship detection algorithm based on YOLOv5s
Zhongguo Jianchuan YanjiuObjectiveThis paper proposes a lightweight remote sensing ship target detection algorithm LR-YOLO based on improved YOLOv5s to meet the lightweight and fast inference requirements of ship target detection tasks involving remote sensing images ...
Haochen WANG +3 more
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Deteksi dan Klasifikasi Tingkat Keparahan Jerawat: Perbandingan Metode You Only Look Once [PDF]
Acne (Acne vulgaris) is one of the most common skin diseases, especially on the face. Accurate diagnosis and proper treatment are important for optimal care results and improving the accuracy of detection and classification of acne severity.
Ayub, Mewati +2 more
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A maintenance guidance system for coal mine electromechanical equipment based on improved YOLOv5s
Gong-kuang zidonghuaIn order to solve the problems of large workload and low versatility of QR code labelling and complex implementation and difficult deployment of existing no-registration recognition methods in the auxiliary maintenance of coal mine electromechanical ...
XU Jun +4 more
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Detection of alcohol content in liquor gathering based on improved YOLOv5s
Shipin yu jixieObjectiveTo improve the quality and yield of liquor by achieving efficient and accurate detection of alcohol content during the liquor gathering process and to develop an detection model of alcohol content in liquor gathering based on improved YOLOv5s ...
WANG Shuang +4 more
doaj +1 more source
YOLOv5s-GTB: light-weighted and improved YOLOv5s for bridge crack detection
, 2022 In response to the situation that the conventional bridge crack manual detection method has a large amount of human and material resources wasted, this study is aimed to propose a light-weighted, high-precision, deep learning-based bridge apparent crack recognition model that can be deployed in mobile devices' scenarios.
openaire +2 more sources
Evaluating YOLOv5s and YOLOv8s for Kitchen Fire Detection: A Comparative Analysis [PDF]
Accurate and timely detection of kitchen fires is crucial for enhancing safety and reducing potential damage. This paper discusses comparative analysis of two cutting-edge object detection models, YOLOv5s and YOLOv8s, focusing on each performance in the ...
Ab Rahman, Mohd Nizam +2 more
core +2 more sources
Радіоелектронні і комп'ютерні системиThe use of unmanned and manned aerial vehicles for remote object localization and classification is very common. These methods are used in various systems, ranging from territory surveys to law enforcement.
Rostyslav Tsekhmystro +2 more
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Marine fish species recognition based on improved YOLOv5s
Shipin yu jixieObjectiveIn order to improve the recognition accuracy of different kinds of marine fish, an improved YOLOv5s marine fish species recognition method was proposed.MethodsK⁃means++algorithm was used to cluster the real frames of marine fish, and more ...
ZHANG Haifeng +3 more
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EFFORTS TOWARDS EFFECTIVE ROBOTIC STRAWBERRY HARVESTING [PDF]
Strawberry is one of the most important agricultural products in the United States and around the world. Traditionally the harvesting of these delicate fruits has been heavily reliant on a seasonal workforce, which is currently impacted by uncertainties ...
He, Zixuan
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Large block coal detection algorithm for fully mechanized working face based on MES-YOLOv5s
Gong-kuang zidonghuaThe objects in the fully mechanized working face have the features of high-speed motion, multi-scale, occlusion, etc. The existing object detection algorithms have problems such as low precision, large memory of models, and strong hardware dependence. In
XU Ciqiang, JIA Yunhong, TIAN Yuan
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