Transfer Training of a Neural Network to Improve the Efficiency of Automatic Recognition of Children Using NVIDIA Jetson Nano

G. Edel, N. Borodina, Marina E. Sukotnova
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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.
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基于NVIDIA Jetson Nano的神经网络迁移训练提高儿童自动识别效率
本工作致力于儿童自动检测模型的迁移训练。本工作的主要目的是在MobileNet V1模型的基础上,提高儿童检测的准确率,并在后续进行对比分析。我们自己的数据集用于迁移训练。培训本身是在免费云服务Google Colab中进行的。这两种型号都是在NVIDIA Jetson Nano单板微型计算机上发布和测试的。
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