Multi-Class Weather Classification From Single Images With Convolutional Neural Networks On Embedded Hardware
but.event.date | 27.04.2021 | cs |
but.event.title | STUDENT EEICT 2021 | cs |
dc.contributor.author | Bravenec, Tomáš | |
dc.date.accessioned | 2021-07-21T07:06:55Z | |
dc.date.available | 2021-07-21T07:06:55Z | |
dc.date.issued | 2021 | cs |
dc.description.abstract | The paper is focused on creating a lightweight machine learning solution for classificationof weather conditions from input images, that can process the input data in real time on embeddeddevices. The approach to the classification uses deep convolutional neural networks architecture withfocus on lightweight design and fast inference, while providing high accuracy results. The focus oncreating lightweight convolutional neural network architecture capable of classification of weatherconditions also enables usage of the network in real time applications at the edge. | en |
dc.format | text | cs |
dc.format.extent | 586-590 | cs |
dc.format.mimetype | application/pdf | en |
dc.identifier.citation | Proceedings I of the 27st Conference STUDENT EEICT 2021: General papers. s. 586-590. ISBN 978-80-214-5942-7 | cs |
dc.identifier.isbn | 978-80-214-5942-7 | |
dc.identifier.uri | http://hdl.handle.net/11012/200700 | |
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 | deep learning | en |
dc.subject | neural networks | en |
dc.subject | computer vision | en |
dc.subject | weather classification | en |
dc.subject | machine learning,parallel computing | en |
dc.subject | inference on edge | en |
dc.subject | reduced precision computing | en |
dc.title | Multi-Class Weather Classification From Single Images With Convolutional Neural Networks On Embedded Hardware | 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 |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- 586_eeict-2021_1.pdf
- Size:
- 1.11 MB
- Format:
- Adobe Portable Document Format
- Description: