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Dating of fashion plates (1820-1880) using transfer learning: Recognition of the year of origin of fashion plates
Jönköping University, School of Engineering, JTH, Department of Computing, Jönköping AI Lab (JAIL).
2023 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Fashion history is an integral subfield of history as a whole. Fashion plates provide important evidence of what fashion once looked like and as such are a valuable window into the lives of the people in ages past. The rise of digitization opens new avenues for aiding historians in the dating of fashion plates; following on from this, digitization also brings a greater need for artworks to be digitized and AI can be utilized in order to keep up with the demand. This provides unique challenges such as gathering data and working with a relatively limited database. Due to the lack of prior research into the subject of dating fashion plates using Artificial Intelligence (AI), said application of AI in the dating process could help future historians automate the task. Transfer learning can help streamline the dating process of fashion plates. I used several approaches with three different models (ResNet101, NasNetMobile, and InceptionV3) and achieved the best mean absolute error of 2.8 years in a range of 60 years using NasNetMobile with a simple output layer and no fine-tuning.

Place, publisher, year, edition, pages
2023.
Keywords [en]
ai, fashion history
National Category
Other Engineering and Technologies not elsewhere specified
Identifiers
URN: urn:nbn:se:hj:diva-62275ISRN: JU-JTH-DTT-2-20230009OAI: oai:DiVA.org:hj-62275DiVA, id: diva2:1790907
Subject / course
JTH, Computer Engineering
Available from: 2023-08-25 Created: 2023-08-23 Last updated: 2023-08-25Bibliographically approved

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
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  • nn-NO
  • nn-NB
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  • Other locale
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Output format
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