Envisaging a global infrastructure to exploit the potential of digitised collections

Groom, Quentin and Dillen, Mathias and Addink, Wouter and H. H. Ariño, Arturo and Bölling, Christian and Bonnet, Pierre and Cecchi, Lorenzo and R. Ellwood, Elizabeth and Figueira, Rui and Gagnier, Pierre-Yves and M Grace, Olwen and Güntsch, Anton and Hardy, Helen and Huybrechts, Pieter and Hyam, Roger and A. J. Joly, Alexis and Krishna Kommineni, Vamsi and Larridon, Isabel and Livermore, Laurence and Jorge Lopes, Ricardo and Meeus, Sofie and A. Miller, Jeremy and Milleville, Kenzo and Panda, Renato and Pignal, Marc and Poelen, Jorrit and Ristevski, Blagoj and et,, al. (2023) Envisaging a global infrastructure to exploit the potential of digitised collections. Biodiversity Data Journal. ISSN 1314-2836

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Abstract

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.

Item Type:	Article
Subjects:	Scientific Fields (Frascati) > Natural sciences > Computer and information sciences Scientific Fields (Frascati) > Engineering and Technology > Electrical engineering, electronic engineering,information engineering
Divisions:	Faculty of Information and Communication Technologies
Depositing User:	Prof. d-r. Blagoj Ristevski
Date Deposited:	17 Jun 2024 17:48
Last Modified:	17 Jun 2024 17:48
URI:	https://eprints.uklo.edu.mk/id/eprint/9533

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