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A Study on Designing Metadata Standard for Building AI Training Dataset of Landmark Images

  • Journal of the Korean Society for Library and Information Science
  • 2020, 54(2), pp.419-434
  • DOI : 10.4275/KSLIS.2020.54.2.419
  • Publisher : 한국문헌정보학회
  • Research Area : Interdisciplinary Studies > Library and Information Science
  • Received : May 22, 2020
  • Accepted : May 25, 2020
  • Published : May 31, 2020

Kim, Jinmook 1

1강남대학교

Excellent Accredited

ABSTRACT

The purpose of the study is to design and propose metadata standard for building AI training dataset of landmark images. In order to achieve the purpose, we first examined and analyzed the state of art of the types of image retrieval systems and their indexing methods, comprehensively. We then investigated open training dataset and machine learning tools for image object recognition. Sequentially, we selected metadata elements optimized for the AI training dataset of landmark images and defined the input data for each element. We then concluded the study with implications and suggestions for the development of application services using the results of the study.

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