Right Convolutional Neural Network For Classification Illustrations In Artworks

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591_eeict-2021_1.pdf(1.37 MB)
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2021
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Mark
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Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
Abstract
This paper deals with the image classification problem in the field of artworks. The articleuses a custom dataset from artworks with eight classes of some not common objects and illustrations.This dataset is used to train three convolutional neural networks for classification. All classificationresults are well discussed and evaluated with an example on the images from a dataset.
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artwork, convolutional neural network, deep learning, image classification, keras, machinelearning
Citation
Proceedings I of the 27st Conference STUDENT EEICT 2021: General papers. s. 591-595. ISBN 978-80-214-5942-7
https://conf.feec.vutbr.cz/eeict/index/pages/view/ke_stazeni
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Peer-reviewed
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en
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© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
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http://hdl.handle.net/11012/200701
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Student EEICT 2021
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