Results 1 to 10 of about 10,507 (209)
Tomato detection based on modified YOLOv3 framework [PDF]
Scientific Reports, 2021 AbstractFruit detection forms a vital part of the robotic harvesting platform. However, uneven environment conditions, such as branch and leaf occlusion, illumination variation, clusters of tomatoes, shading, and so on, have made fruit detection very challenging.
M. Lawal
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A lightweight YOLOv3 algorithm used for safety helmet detection
Scientific Reports, 2022 YOLOv3 is a popular and effective object detection algorithm. However, YOLOv3 has a complex network, and floating point operations (FLOPs) and parameter sizes are large.
Lixia Deng +3 more
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Multi-Scale Ship Detection From SAR and Optical Imagery Via A More Accurate YOLOv3
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Deep learning detection methods use in ship detection remains a challenge, owing to the small scale of the objects and interference from complex sea surfaces.
Zhonghua Hong +9 more
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Agronomy, 2022 The maturity level of tomato is a key factor of tomato picking, which directly determines the transportation distance, storage time, and market freshness of postharvest tomato. In view of the lack of studies on tomato maturity classification under nature
Fei Su +5 more
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Improved YOLOv3 Integrating SENet and Optimized GIoU Loss for Occluded Pedestrian Detection
Sensors, 2023 Occluded pedestrian detection faces huge challenges. False positives and false negatives in crowd occlusion scenes will reduce the accuracy of occluded pedestrian detection.
Qiangbo Zhang +4 more
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智能科学与技术学报, 2023 YOLOv3算法在目标检测和识别方面具有检测精度高、速度快等优点，但其损失函数中高宽比部分的损失运算对大目标与小目标的区分不明显，导致损失计算结果精度较差，小目标预测框尺寸不准确。为此，对YOLOv3算法的损失函数进行了改进，将宽高坐标误差部分修改为与目标宽高真实值相关的形式，并将原模型的非极大值抑制函数中有重叠区域的检测框的分数由固定值改为衰减函数的形式，最后对改进模型进行了车辆检测实验。研究表明，改进模型在不影响车辆检测速度的同时，召回率R、精确率P、调和F1值和平均准确度mAP分别提高了0.1、0.
宋华杰, 周磊
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Comparing YOLOv3, YOLOv4 and YOLOv5 for Autonomous Landing Spot Detection in Faulty UAVs
Italian National Conference on Sensors, 2022 In-flight system failure is one of the major safety concerns in the operation of unmanned aerial vehicles (UAVs) in urban environments. To address this concern, a safety framework consisting of following three main tasks can be utilized: (1) Monitoring ...
Upesh Nepal, Hossein Eslamiat
semanticscholar +1 more source
Fayixue Zazhi, 2022 ObjectiveTo construct a YOLOv3-based model for diatom identification in scanning electron microscope images, explore the application performance in practical cases and discuss the advantages of this model.MethodsA total of 25 000 scanning electron ...
CHEN Ji +10 more
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A YOLOv3-Based Smart City Application for Children’s Playgrounds
Journal of Innovative Science and Engineering, 2021 According to the reports of Public Health Institution, approximately 250,000 rabiesrisk animal bites occur per year in Turkey. Most of these bites are caused by dogs and most of the victims are the children who play in playgrounds. With the development
Mehmet Fatih İNKAYA, Hakan GÜRKAN
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Agronomy, 2022 Over the last few years, several Convolutional Neural Networks for object detection have been proposed, characterised by different accuracy and speed. In viticulture, yield estimation and prediction is used for efficient crop management, taking advantage
M. Sozzi +4 more
semanticscholar +1 more source