This is not an apple! Benefits and challenges of applying computer vision to museum collections.

The application of computer vision on museum collection data is at an experimental stage with predictions that it will grow in significance and use in the coming years. This research, based on the analysis of five case studies and semi-structured interviews with museum professionals, examined the op...

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Publicado en:Museum Management & Curatorship Vol. 36; no. 4; pp. 362 - 384
Autores principales: Villaespesa, Elena, Murphy, Oonagh
Formato: Artículo
Publicado: Taylor & Francis Ltd Aug2021
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Aug2021
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        10.1080/09647775.2021.1873827
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        atl: This is not an apple! Benefits and challenges of applying computer vision to museum collections.
      aug:
        au:
          Villaespesa, Elena
          Murphy, Oonagh
        affil:
          School of Information, Pratt Institute, New York, USA
          Institute for Creative and Cultural Entrepreneurship, Goldsmiths, University of London, London, UK
      su:
        Computer vision
        Science museums
        Harvard Art Museums
        Princeton University Art Museum
        Metropolitan Museum of Art (New York, N.Y.)
        Artificial intelligence
        Art museums
        Museum studies
      sug:
        subj:
          Computer vision
          Science museums
          Harvard Art Museums
          Princeton University Art Museum
          Metropolitan Museum of Art (New York, N.Y.)
          Artificial intelligence
          Art museums
          Museum studies
      keyword:
        artificial intelligence
        bias
        computer vision
        data management
        ethics
        Museum collections
      ab: The application of computer vision on museum collection data is at an experimental stage with predictions that it will grow in significance and use in the coming years. This research, based on the analysis of five case studies and semi-structured interviews with museum professionals, examined the opportunities and challenges of these technologies, the resources and funding required, and the ethical implications that arise during these initiatives. The case studies examined in this paper are drawn from: The Metropolitan Museum of Art (USA), Princeton University Art Museum (USA), Museum of Modern Art (USA), Harvard Art Museums (USA), Science Museum Group (UK). The research findings highlight the possibilities of computer vision to offer new ways to analyze, describe and present museum collections. However, their actual implementation on digital products is currently very limited due to the lack of resources and the inaccuracies created by algorithms. This research adds to the rapidly evolving field of computer vision within the museum sector and provides recommendations to operationalize the usage of these technologies, increase the transparency on their application, create ethics playbooks to manage potential bias and collaborate across the museum sector.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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