Right convolutional neural network for classification illustrations in artworks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F21%3APU141396" target="_blank" >RIV/00216305:26220/21:PU141396 - isvavai.cz</a>
Result on the web
<a href="https://www.fekt.vut.cz/conf/EEICT/archiv/sborniky/EEICT_2021_sbornik_1.pdf" target="_blank" >https://www.fekt.vut.cz/conf/EEICT/archiv/sborniky/EEICT_2021_sbornik_1.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Right convolutional neural network for classification illustrations in artworks
Original language description
This paper deals with the image classification problem in the field of artworks. The article uses 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 classification results are well discussed and evaluated with an example on the images from a dataset.
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
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OECD FORD branch
20203 - Telecommunications
Result continuities
Project
<a href="/en/project/TL02000270" target="_blank" >TL02000270: Media Art Live Archive: Intelligent Interface for Interactive Mediation of Cultural Heritage</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů