印尼传统皮影图像分类:一种深度学习方法

Ida Bagus Kresna Sudiatmika, Pranowo, Suyoto
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引用次数: 1

摘要

木偶是印尼传统艺术之一,是由木偶师表演的一种艺术表演。木偶根据木偶的性格有自己的特点和性格。所以保护它的一种方法是,我们做研究来识别和分类木偶的类型。这样就可以根据阴影和形状来了解木偶的类型。针对这些特征的差异,笔者利用目前计算机视觉上比较流行的深度学习方法对木偶进行分类。在这项研究中,我们使用了深度卷积神经网络架构,如AlexNet和VGG-16。通过使用我们自己的数据集,我们根据木偶特征对木偶的类型进行分类,经过数据增强后我们拥有的数据库数量为5130。我们得到的最好的结果是使用VGG-16架构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Indonesian Traditional Shadow Puppet Image Classification: A Deep Learning Approach
Puppet is one of Indonesian traditional art which is an art performance performed by a puppeteer. The puppets have their own features and character according to the puppet character. So one way to preserve it, we do research to recognize and classify the type of puppets. So with this can be known the types of puppet based on shades and shapes. With the differences of these characteristics, the writer made the classification of puppets by using Deep Learning method which is currently popular on computer vision. In this study we used Deep Convolutional Neural Network architecture such as AlexNet and VGG-16. By using our own dataset, we classify the types of puppets based on the puppet feature with the number of databases that we have after going through the data augmentation is 5130. The best result we made is using architecture VGG-16.
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