Terug naar overzicht

Envisaging a global infrastructure to exploit the potential of digitised collections

De samenvatting is helaas nog niet in het Nederlands beschikbaar.
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.

Details

Volume 11
Tijdschrift nummer e109439
Type A1: Web of Science-artikel
Categorie Onderzoek
Tijdschrift Biodiversity Data Journal
Issns 1314-2828
Uitgeverij Pensoft Publishers
Taal Engels
Bibtex

@misc{977e3612-0b35-4c6b-a5e6-9b8a1b7dffce,
title = "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.",
author = "Quentin Groom and Mathias Dillen and Wouter Addink and Arturo H. H. Ariño and Christian Bölling and Pierre Bonnet and Lorenzo Cecchi and Elizabeth R. Ellwood and Rui Figueira and Pierre-Yves Gagnier and Olwen M Grace and Anton Güntsch and Helen Hardy and Pieter Huybrechts and Roger Hyam and Alexis Joly and Vamsi Krishna Kommineni and Isabel Larridon and Laurence Livermore and Ricardo Jorge Lopes and Sofie Meeus and Jeremy A. Miller and Kenzo Milleville and Renato Panda and Marc Pignal and Jorrit H. Poelen and Blagoj Ristevski and Tim Robertson and Ana C Rufino and Joaquim Santos and Maarten Schermer and Ben Scott and Katja Chantre Seltmann and Heliana Teixeira and Maarten Trekels and Jitendra Gaikwad",
year = "2023",
month = nov,
day = "30",
doi = "https://doi.org/10.3897/bdj.11.e109439",
language = "Nederlands",
publisher = "Pensoft Publishers",
address = "België,
type = "Other"
}

Auteurs

Quentin Groom
Mathias Dillen
Wouter Addink
Arturo H. H. Ariño
Christian Bölling
Pierre Bonnet
Lorenzo Cecchi
Elizabeth R. Ellwood
Rui Figueira
Pierre-Yves Gagnier
Olwen M Grace
Anton Güntsch
Helen Hardy
Pieter Huybrechts
Roger Hyam
Alexis Joly
Vamsi Krishna Kommineni
Isabel Larridon
Laurence Livermore
Ricardo Jorge Lopes
Sofie Meeus
Jeremy A. Miller
Kenzo Milleville
Renato Panda
Marc Pignal
Jorrit H. Poelen
Blagoj Ristevski
Tim Robertson
Ana C Rufino
Joaquim Santos
Maarten Schermer
Ben Scott
Katja Chantre Seltmann
Heliana Teixeira
Maarten Trekels
Jitendra Gaikwad