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


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.

SUBMITTER: Groom Q 

PROVIDER: S-EPMC10704481 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature

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

Groom Quentin Q   Dillen Mathias M   Addink Wouter W   Ariño Arturo H H AHH   Bölling Christian C   Bonnet Pierre P   Cecchi Lorenzo L   Ellwood Elizabeth R ER   Figueira Rui R   Gagnier Pierre-Yves PY   Grace Olwen M OM   Güntsch Anton A   Hardy Helen H   Huybrechts Pieter P   Hyam Roger R   Joly Alexis A J AAJ   Kommineni Vamsi Krishna VK   Larridon Isabel I   Livermore Laurence L   Lopes Ricardo Jorge RJ   Meeus Sofie S   Miller Jeremy A JA   Milleville Kenzo K   Panda Renato R   Pignal Marc M   Poelen Jorrit J   Ristevski Blagoj B   Robertson Tim T   Rufino Ana C AC   Santos Joaquim J   Schermer Maarten M   Scott Ben B   Seltmann Katja Chantre KC   Teixeira Heliana H   Trekels Maarten M   Gaikwad Jitendra J  

Biodiversity data journal 20231130


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  ...[more]

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