{"title":"Study of Filtering the Weather Adverse Effects to Object Detection","authors":"S. Shtekhin, D. Karachev, A. Stadnik","doi":"10.1134/S1063779624030766","DOIUrl":null,"url":null,"abstract":"<p>The work is devoted to the study of the problem of detecting objects of various sizes on the example of an open dataset using the Yolo v5 [1] neural network model. The main attention is paid to the study of the effect of pre-filtering of images on the results of object detection and the development of a methodology for assessing such an effect. In addition, the paper etestuates the effect of filtering distortions from rain and snow on the results of object detection according to the proposed method. The results obtained can be useful for improving the accuracy of detecting objects in images with various types of distortion and are applied in various fields, such as automatic car driving, transport monitoring, etc.</p>","PeriodicalId":729,"journal":{"name":"Physics of Particles and Nuclei","volume":null,"pages":null},"PeriodicalIF":0.6000,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Physics of Particles and Nuclei","FirstCategoryId":"101","ListUrlMain":"https://link.springer.com/article/10.1134/S1063779624030766","RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"PHYSICS, PARTICLES & FIELDS","Score":null,"Total":0}
引用次数: 0
Abstract
The work is devoted to the study of the problem of detecting objects of various sizes on the example of an open dataset using the Yolo v5 [1] neural network model. The main attention is paid to the study of the effect of pre-filtering of images on the results of object detection and the development of a methodology for assessing such an effect. In addition, the paper etestuates the effect of filtering distortions from rain and snow on the results of object detection according to the proposed method. The results obtained can be useful for improving the accuracy of detecting objects in images with various types of distortion and are applied in various fields, such as automatic car driving, transport monitoring, etc.
期刊介绍：
The journal Fizika Elementarnykh Chastits i Atomnogo Yadr of the Joint Institute for Nuclear Research (JINR, Dubna) was founded by Academician N.N. Bogolyubov in August 1969. The Editors-in-chief of the journal were Academician N.N. Bogolyubov (1970–1992) and Academician A.M. Baldin (1992–2001). Its English translation, Physics of Particles and Nuclei, appears simultaneously with the original Russian-language edition. Published by leading physicists from the JINR member states, as well as by scientists from other countries, review articles in this journal examine problems of elementary particle physics, nuclear physics, condensed matter physics, experimental data processing, accelerators and related instrumentation ecology and radiology.
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