Multi-attribute Clothing Classification Using Convolutional Neural Network

碩士 === 國立虎尾科技大學 === 資訊工程系碩士班 === 107 === Convolutional Neural Network (CNN) has demonstrated great efficiency in image classification tasks. In this research, CNN is employed with multi-label classification to extract features from clothing images and classify clothing types and colors. In our metho...

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Bibliographic Details
Main Authors:	Chaitawat Chenbunyanon, 曾曉龍
Other Authors:	JIANG, JI-HAN
Format:	Others
Language:	en_US
Published:	2019
Online Access:	http://ndltd.ncl.edu.tw/handle/6e9dme

id	ndltd-TW-107NYPI0392002
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spelling	ndltd-TW-107NYPI03920022019-05-16T01:32:15Z http://ndltd.ncl.edu.tw/handle/6e9dme Multi-attribute Clothing Classification Using Convolutional Neural Network 基於卷積神經網絡的多屬性服裝分類 Chaitawat Chenbunyanon 曾曉龍碩士國立虎尾科技大學資訊工程系碩士班 107 Convolutional Neural Network (CNN) has demonstrated great efficiency in image classification tasks. In this research, CNN is employed with multi-label classification to extract features from clothing images and classify clothing types and colors. In our method, we first develop a neural network for types and colors separately then combine into a multi-output model to identify them. Then, we evaluate our network by accuracy, precision, recall and f1-score. The experimental results show that the proposed method achieves practical performance in classify precision. JIANG, JI-HAN 江季翰 2019 學位論文 ; thesis 32 en_US
collection	NDLTD
language	en_US
format	Others
sources	NDLTD
description	碩士 === 國立虎尾科技大學 === 資訊工程系碩士班 === 107 === Convolutional Neural Network (CNN) has demonstrated great efficiency in image classification tasks. In this research, CNN is employed with multi-label classification to extract features from clothing images and classify clothing types and colors. In our method, we first develop a neural network for types and colors separately then combine into a multi-output model to identify them. Then, we evaluate our network by accuracy, precision, recall and f1-score. The experimental results show that the proposed method achieves practical performance in classify precision.
author2	JIANG, JI-HAN
author_facet	JIANG, JI-HAN Chaitawat Chenbunyanon 曾曉龍
author	Chaitawat Chenbunyanon 曾曉龍
spellingShingle	Chaitawat Chenbunyanon 曾曉龍 Multi-attribute Clothing Classification Using Convolutional Neural Network
author_sort	Chaitawat Chenbunyanon
title	Multi-attribute Clothing Classification Using Convolutional Neural Network
title_short	Multi-attribute Clothing Classification Using Convolutional Neural Network
title_full	Multi-attribute Clothing Classification Using Convolutional Neural Network
title_fullStr	Multi-attribute Clothing Classification Using Convolutional Neural Network
title_full_unstemmed	Multi-attribute Clothing Classification Using Convolutional Neural Network
title_sort	multi-attribute clothing classification using convolutional neural network
publishDate	2019
url	http://ndltd.ncl.edu.tw/handle/6e9dme
work_keys_str_mv	AT chaitawatchenbunyanon multiattributeclothingclassificationusingconvolutionalneuralnetwork AT céngxiǎolóng multiattributeclothingclassificationusingconvolutionalneuralnetwork AT chaitawatchenbunyanon jīyújuǎnjīshénjīngwǎngluòdeduōshǔxìngfúzhuāngfēnlèi AT céngxiǎolóng jīyújuǎnjīshénjīngwǎngluòdeduōshǔxìngfúzhuāngfēnlèi
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Multi-attribute Clothing Classification Using Convolutional Neural Network

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