3 documents found, page 1 of 1
Envisaging a global infrastructure to exploit the potential of digitised collec...
Groom, Quentin; Dillen, Mathias; Addink, Wouter; Ariño, Arturo H H; Bölling, Christian; Bonnet, Pierre; Cecchi, Lorenzo; Ellwood, Elizabeth RTens 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 collect...
Envisaging a global infrastructure to exploit the potential of digitised collec...
Groom, Quentin; Dillen, Mathias; Addink, Wouter; Ariño, Arturo H.; Bölling, Christian; Bonnet, Pierre; Cecchi, Lorenzo; Ellwood, Elizabeth R.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 collect...
Quality issues in georeferencing: From physical collections to digital data rep...
Marcer, Arnald; Haston, Elspeth; Groom, Quentin; Ariño, Arturo H.; Chapman, Arthur D.; Bakken, Torkild; Braun, Paul; Dillen, Mathias; Ernst, MarcusNatural history collections constitute an enormous wealth of information of Life on Earth. It is estimated that over 2 billion specimens are preserved at institutions worldwide, of which less than 10% are accessible via biodiversity data aggregators such as GBIF. Moreover, they are a very important resource for eco-evolutionary research, which greatly depends on knowing the precise location where the specimens ...