Right Convolutional Neural Network For Classification Illustrations In Artworks
| but.event.date | 27.04.2021 | cs |
| but.event.title | STUDENT EEICT 2021 | cs |
| dc.contributor.author | Sikora, Pavel | |
| dc.date.accessioned | 2021-07-21T07:06:55Z | |
| dc.date.available | 2021-07-21T07:06:55Z | |
| dc.date.issued | 2021 | cs |
| dc.description.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. | en |
| dc.format | text | cs |
| dc.format.extent | 591-595 | cs |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.citation | Proceedings I of the 27st Conference STUDENT EEICT 2021: General papers. s. 591-595. ISBN 978-80-214-5942-7 | cs |
| dc.identifier.isbn | 978-80-214-5942-7 | |
| dc.identifier.uri | http://hdl.handle.net/11012/200701 | |
| dc.language.iso | en | cs |
| dc.publisher | Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií | cs |
| dc.relation.ispartof | Proceedings I of the 27st Conference STUDENT EEICT 2021: General papers | en |
| dc.relation.uri | https://conf.feec.vutbr.cz/eeict/index/pages/view/ke_stazeni | cs |
| dc.rights | © Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií | cs |
| dc.rights.access | openAccess | en |
| dc.subject | artwork | en |
| dc.subject | convolutional neural network | en |
| dc.subject | deep learning | en |
| dc.subject | image classification | en |
| dc.subject | keras | en |
| dc.subject | machinelearning | en |
| dc.title | Right Convolutional Neural Network For Classification Illustrations In Artworks | en |
| dc.type.driver | conferenceObject | en |
| dc.type.status | Peer-reviewed | en |
| dc.type.version | publishedVersion | en |
| eprints.affiliatedInstitution.department | Fakulta elektrotechniky a komunikačních technologií | cs |
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