دورية أكاديمية

Envisaging a global infrastructure to exploit the potential of digitised collections.

التفاصيل البيبلوغرافية
العنوان: Envisaging a global infrastructure to exploit the potential of digitised collections.
المؤلفون: Groom, Quentin, Dillen, Mathias, Addink, Wouter, Ariño, Arturo H. H., Bölling, Christian, Bonnet, Pierre, Cecchi, Lorenzo, Ellwood, Elizabeth R., Figueira, Rui, Gagnier, Pierre-Yves, Grace, Olwen M., Güntsch, Anton, Hardy, Helen, Huybrechts, Pieter, Hyam, Roger, Joly, Alexis A. J., Kommineni, Vamsi Krishna, Larridon, Isabel, Livermore, Laurence, Lopes, Ricardo Jorge
المصدر: Biodiversity Data Journal; Nov2023, p1-29, 29p
مصطلحات موضوعية: DIGITIZATION, INFRASTRUCTURE (Economics), IMAGE analysis, COMPUTER vision, MACHINE learning
مستخلص: Tens of millions of images from biological collections have become available online over the last two decades. In parallel, there has been a dramatic increase in the capabilities of image analysis technologies, especially those involving machine learning and computer vision. While image analysis has become mainstream in consumer applications, it is still used only on an artisanal basis in the biological collections community, largely because the image corpora are dispersed. Yet, there is massive untapped potential for novel applications and research if images of collection objects could be made accessible in a single corpus. In this paper, we make the case for infrastructure that could support image analysis of collection objects. We show that such infrastructure is entirely feasible and well worth investing in. [ABSTRACT FROM AUTHOR]
Copyright of Biodiversity Data Journal is the property of Pensoft Publishers and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
قاعدة البيانات: Complementary Index
الوصف
تدمد:13142836
DOI:10.3897/BDJ.11.e109439