Results 51 to 60 of about 10,507 (209)
Forest Fire Detection using Yolov3
international journal of engineering technology and management sciences, 2022 Fire detection systems play a key role in industries, shops, malls, etc. in detecting fire at the initial stages and help in saving lives and property. Commercial fire detecting systems usually have an alarm signaling with a buzzer, which has been found inadequate. To overcome these deficiencies, this project aims to design a fire detection system.
null Rajapriyan V S +3 more
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MYOLO: A Lightweight Fresh Shiitake Mushroom Detection Model Based on YOLOv3
Agriculture, 2023 Fruit and vegetable inspection aids robotic harvesting in modern agricultural production. For rapid and accurate detection of fresh shiitake mushrooms, picking robots must overcome the complex conditions of the growing environment, diverse morphology ...
Peichao Cong +4 more
semanticscholar +1 more source
Traffic signs detection and recognition under low-illumination conditions
工程科学学报, 2020 Traffic sign detection and recognition, which are important to ensure traffic safety, have been a research hotspot. In recent years, with the rapid development of automated driving technology, significant progress has been made in developing more ...
Kun ZHAO, Li LIU, Yu MENG, Ruo-can SUN
doaj +1 more source
Small Object Detection in Traffic Scene Based on Improved Convolutional Neural Network [PDF]
Jisuanji gongcheng, 2020 In view of the problems existing in the detection of small vehicles in complex traffic scenes,this paper proposes an improved objection detection method based on YOLOv3,S-YOLOv3.The method uses ResNet to improve the feature extraction structure of ...
ZHENG Qiumei, WANG Lulu, WANG Fenghua
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, 2021 The aim of this work is to provide an overview of artificial neural networks and methods for object recognition within an image. Many methods will be thoroughly explained to gain perspective about the best approach to implement the image object detection system.
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Symmetry, 2022 Despite the great possibilities of modern neural network architectures concerning the problems of object detection and recognition, the output of such models is the local (pixel) coordinates of objects bounding boxes in the image and their predicted ...
N. Andriyanov +6 more
semanticscholar +1 more source
Improved YOLOv3 Remote Sensing Target Detection Based on Improved Dense Connection and Distributional Ranking Loss [PDF]
Jisuanji kexue, 2021 Aiming at solving the problems of small object size,uneven sample distribution,and unclear features in remote sensing images,an improved YOLOv3 object detection algorithm is proposed.The Stitcher data enhancement method is used to solve the problem of ...
YUAN Lei, LIU Zi-yan, ZHU Ming-cheng, MA Shan-shan, CHEN Lin-zhou-ting
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A detection method for the ridge beast based on improved YOLOv3 algorithm
Heritage Science, 2023 The ridge beast is a beast placed on the ridge of the roof of ancient Chinese buildings, not only has a decorative function, and has a strict hierarchical meaning, the number and form of the ridge beast placed on different levels of buildings are ...
M. Hou, Wu Hao, Youqiang Dong, Yuhang Ji
semanticscholar +1 more source
Improved Object Detection Algorithm of YOLOv3 Remote Sensing Image
IEEE Access, 2021 Due to the low detection accuracy of YOLOv3 target detection method, this paper proposes an improved target detection method of YOLOv3 remote sensing image.
Kaijun Wu +5 more
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Object Detection Using Stacked YOLOv3
Ingénierie des systèmes d information, 2020 Object detection is a stimulating task in the applications of computer vision. It is gaining a lot of attention in many real-time applications such as detection of number plates of suspect cars, identifying trespassers under surveillance areas, detecting unmasked faces in security gates during the COVID-19 period, etc.
Sai Shilpa Padmanabula +3 more
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