Results 101 to 110 of about 5,295 (214)
Comparison of YOLOv5 for Classifying Mangrove Leaf Species using CNN-Based [PDF]
Indonesia has many species of mangrove plants scattered throughout the coast to the river\u27s edge. Species of mangrove plants can be distinguished based on root type, stem size, leaf shape, flower color, and fruit.
Diana, Rita +4 more
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Convolutional Neural Networks (CNN) are commonly used for the problem of object detection thanks to their increased accuracy. Nevertheless, the performance of CNN-based detection models is ambiguous when detection speed is considered.
Gogou, Ioanna +1 more
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Indoor Smoking Detection Method based on Dual Spectral Fusion Image and YOLO Framework [PDF]
Indoor fires are a major problem for public safety, with smoking being the most hidden threat. Traditional fire detection systems, such as smoke detectors, are only useful in the early stages and face challenges due to low light and limited visibility ...
Abdullah Al Nayeem Mahmud Lavu +3 more
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MFL-YOLO: An Object Detection Model for Damaged Traffic Signs
, 2023 Traffic signs are important facilities to ensure traffic safety and smooth flow, but may be damaged due to many reasons, which poses a great safety hazard. Therefore, it is important to study a method to detect damaged traffic signs.
Chen, Tengyang, Ren, Jiangtao
core
Lymphocyte Detection Method Based on Improved YOLOv5
IEEE AccessTo address the limitations of traditional burdensome and time-consuming manual diagnosis of Sjogren’s syndrome, this study proposes and implements an improved version of YOLOv5s algorithm, named YOLOv5s-MSS.
Peihe Jiang, Yi Li, Ying Liu, Ning Lu
doaj +1 more source
Traffic Sign Recognition Dataset and Data Augmentation
, 2023 Although there are many datasets for traffic sign classification, there are few datasets collected for traffic sign recognition and few of them obtain enough instances especially for training a model with the deep learning method.
Ge, Jingzhan
core
Longitudinal tear detection system for belt conveyor based on deep learning
Meikuang AnquanIn response to the common problems faced by belt conveyors in the field of longitudinal tear detection, such as high missed detection rate, frequent false alarms, and insufficient intelligence level, we develop an intelligent detection system for ...
Zhiqiang YU, Xiangsheng PAN, Wei JIANG
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Meitan kexue jishuFor the problem of interference between shearer drum and hydraulic support guard plate, an interference state intelligent recognition method for shearer drum and hydraulic support guard plate of improved YOLOv5s algorithm is proposed. The use of boundary
Qinghua MAO +4 more
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智能科学与技术学报, 2021 在电力系统需要巡检的大环境下，人工巡检的传统方式存在很大不便和安全隐患，而采用无人机的目标检测方法在绝缘子检测识别方向有很大的应用前景。针对绝缘子图像检测中存在的场景复杂、视角多变、设备计算能力受限等问题，提出了一种改进的轻量级SE-YOLOv5s卷积神经网络来实现对绝缘子的快速目标检测，该方法首先在YOLOv5s网络中融合SE注意力模块，以强化网络对绝缘子目标的辨识能力，随后采用K-means聚类方法构建绝缘子的先验框，以提升定位精度，最后构造置信度与定位任务联合的损失函数，并引入 Mosaic ...
田庆 +4 more
doaj
Inspección de subestaciones eléctricas: YOLOv5 en la identificación de puntos calientes mediante imágenes térmicas [PDF]
Substations are key facilities within an electrical system, untimely failures tend to cause low quality and negative effects on the electrical supply. An early indicator of potential electrical equipment failure is the appearance of hot spots; therefore,
Malpica-Rodriguez, Manuel E. +4 more
core +2 more sources