Item request has been placed! ×
Item request cannot be made. ×
loading  Processing Request

Envisaging a global infrastructure to exploit the potential of digitised collections

Item request has been placed! ×
Item request cannot be made. ×
loading   Processing Request
اقرأ أكثر حفظ في قائمتي
  • معلومة اضافية
    • Contributors:
      Meise Botanic Garden Belgium (Plantentuin); Naturalis Biodiversity Center Leiden; Universidad Pública de Navarra Espagne = Public University of Navarra (UPNA); Museum für Naturkunde Berlin; Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP); Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD France-Sud )-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université de Montpellier (UM); Département Systèmes Biologiques (Cirad-BIOS); Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad); Museo di Storia Naturale di Firenze; Università degli Studi di Firenze = University of Florence = Université de Florence (UniFI); iDigBio; Instituto Superior de Agronomia Lisboa (ISA); Universidade de Lisboa = University of Lisbon (ULISBOA); Muséum national d'Histoire naturelle (MNHN); Direction générale déléguée aux collections (DGD.C); Centre de Recherche en Paléontologie - Paris (CR2P); Muséum national d'Histoire naturelle (MNHN)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS); Redpath Museum; McGill University = Université McGill Montréal, Canada; Royal Botanic Garden Edinburgh; Free University of Berlin (FU); The Natural History Museum London (NHM); Research Institute for Nature and Forest (INBO); Scientific Data Management (ZENITH); Inria Sophia Antipolis - Méditerranée (CRISAM); Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM); Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM); Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM); Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM); Friedrich-Schiller-Universität = Friedrich Schiller University Jena Jena, Germany; Royal Botanic Gardens Kew; Universidade do Porto = University of Porto; Internet Technology and Data Science Lab (IDLab); Universiteit Antwerpen = University of Antwerpen Antwerpen -Universiteit Gent = Ghent University (UGENT); Instituto Politécnico de Tomar; Ronin Institute; Sofia University "St. Kliment Ohridski"; Global Biodiversity Information Facility (GBIF); Universidade de Coimbra Coimbra; Universiteit Utrecht / Utrecht University Utrecht; University of California Santa Barbara (UC Santa Barbara); University of California (UC); Universidade de Aveiro
    • بيانات النشر:
      HAL CCSD
    • الموضوع:
      2023
    • Collection:
      CIRAD: HAL (Recherche agronomique pour le développement / Agricultural Research for Development)
    • نبذة مختصرة :
      International audience ; Tens of millions of images from biological collections have become available online in 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. Whilst image analysis has become mainstream in consumer applications, it is still only used 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 the images of collection objects could be made accessible as a single corpus. In this paper, we make the case for building infrastructure that could support image analysis of collection objects. We show that such an infrastructure is entirely feasible and well worth the investment.
    • Relation:
      hal-03871553; https://inria.hal.science/hal-03871553; https://inria.hal.science/hal-03871553/document; https://inria.hal.science/hal-03871553/file/BDJ_article_109439.pdf
    • الرقم المعرف:
      10.3897/BDJ.11.e109439
    • Rights:
      http://creativecommons.org/licenses/by/ ; info:eu-repo/semantics/OpenAccess
    • الرقم المعرف:
      edsbas.C7BF8419