{"title":"基于NVIDIA Jetson Nano的神经网络迁移训练提高儿童自动识别效率","authors":"G. Edel, N. Borodina, Marina E. Sukotnova","doi":"10.1109/SIBCON56144.2022.10002974","DOIUrl":null,"url":null,"abstract":"this work is devoted to the transfer training of a model for automatic detection of children. The main goal of the work was to increase the accuracy of detecting children in comparison with the MobileNet V1 model taken as a basis, with which a comparative analysis will be carried out in the future. Our own data set was used for transfer training. The training itself was carried out in the free cloud service Google Colab. Both models were launched and tested on a single-board NVIDIA Jetson Nano microcomputer.","PeriodicalId":265523,"journal":{"name":"2022 International Siberian Conference on Control and Communications (SIBCON)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Transfer Training of a Neural Network to Improve the Efficiency of Automatic Recognition of Children Using NVIDIA Jetson Nano\",\"authors\":\"G. Edel, N. Borodina, Marina E. Sukotnova\",\"doi\":\"10.1109/SIBCON56144.2022.10002974\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"this work is devoted to the transfer training of a model for automatic detection of children. The main goal of the work was to increase the accuracy of detecting children in comparison with the MobileNet V1 model taken as a basis, with which a comparative analysis will be carried out in the future. Our own data set was used for transfer training. The training itself was carried out in the free cloud service Google Colab. Both models were launched and tested on a single-board NVIDIA Jetson Nano microcomputer.\",\"PeriodicalId\":265523,\"journal\":{\"name\":\"2022 International Siberian Conference on Control and Communications (SIBCON)\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 International Siberian Conference on Control and Communications (SIBCON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIBCON56144.2022.10002974\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Siberian Conference on Control and Communications (SIBCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIBCON56144.2022.10002974","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Transfer Training of a Neural Network to Improve the Efficiency of Automatic Recognition of Children Using NVIDIA Jetson Nano
this work is devoted to the transfer training of a model for automatic detection of children. The main goal of the work was to increase the accuracy of detecting children in comparison with the MobileNet V1 model taken as a basis, with which a comparative analysis will be carried out in the future. Our own data set was used for transfer training. The training itself was carried out in the free cloud service Google Colab. Both models were launched and tested on a single-board NVIDIA Jetson Nano microcomputer.
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