Image classification using deep neural network for efficient identification of traffic sign

Simple item page
bracu.degree.levelUndergraduate
bracu.type.groupStudent Works
datacite.rightsOpen Access
dc.contributor.advisorTairin, Suraiya
dc.contributor.advisorIslam, Md. Saiful
dc.contributor.authorSaha, Sourajit
dc.contributor.departmentDepartment of Computer Science and Engineering
dc.date.accessioned2018-01-15T09:26:48Z
dc.date.available2018-01-15T09:26:48Z
dc.date.copyright2017
dc.date.issued8/21/2017
dc.descriptionCataloged from PDF version of thesis report.
dc.descriptionIncludes bibliographical references (pages 73-76).
dc.descriptionThis thesis report is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017.en_US
dc.description.degreeBachelor of Science in Computer Science and Engineering
dc.description.statementofresponsibilitySourajit Saha
dc.format.extent76 pages
dc.identifier.otherID 17141016
dc.identifier.urihttp://hdl.handle.net/10361/9072
dc.language.isoenen_US
dc.publisherBRAC Universityen_US
dc.rightsBRAC University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subjectNeural networken_US
dc.subjectImage classificationen_US
dc.subjectTrafficen_US
dc.titleImage classification using deep neural network for efficient identification of traffic signen_US
dc.typeThesisen_US

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
17141016_CSE.pdf
Size:
4.23 MB
Format:
Adobe Portable Document Format
Description:
Download

License bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Thesis (Bachelor of Science in Computer Science and Engineering)