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Animal ID Tag Recognition with Convolutional and Recurrent Neural Network: Identifying digits from a number sequence with RCNN
University of Skövde, School of Informatics.
University of Skövde, School of Informatics.
2019 (English)Independent thesis Basic level (degree of Bachelor), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Major advances in machine learning have made image recognition applications, with Artificial Neural Network, blossom over the recent years. The aim of this thesis was to find a solution to recognize digits from a number sequence on an ID tag, used to identify farm animals, with the help of image recognition. A Recurrent Convolutional Neural Network solution called PPNet was proposed and tested on a data set called Animal Identification Tags. A transfer learning method was also used to test if it could help PPNet generalize and better recognize digits. PPNet was then compared against Microsoft Azures own image recognition API, to determine how PPNet compares to a general solution. PPNet, while not performing as good, still managed to achieve competitive results to the Azure API.

Place, publisher, year, edition, pages
2019. , p. 35
Keywords [en]
Machine Learning, Convolutional Neural Network, Recurrent Neural Network, Transfer learning, Microsoft Azure
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:his:diva-17031OAI: oai:DiVA.org:his-17031DiVA, id: diva2:1323258
External cooperation
CGI Skara
Subject / course
Computer Science
Educational program
Computer Science - Specialization in Systems Development
Supervisors
Examiners
Available from: 2019-06-12 Created: 2019-06-11 Last updated: 2019-06-12Bibliographically approved

Open Access in DiVA

Animal ID Tag Recognition with Convolutional and Recurrent Neural Network(8188 kB)33 downloads
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File name FULLTEXT01.pdfFile size 8188 kBChecksum SHA-512
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Type fulltextMimetype application/pdf

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Hijazi, IssaPettersson, Pontus
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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf