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A framework for the development of a global standardised marine taxon reference image database (SMarTaR-ID) to support image-based analyses
Provedor de dados: 5
Autores: Howell, Kerry L.; Davies, Jaime S.; Allcock, A. Louise; Braga-henriques, Andreia; Buhl-mortensen, Pål; Carreiro-silva, Marina; Dominguez-carrió, Carlos; Durden, Jennifer M.; Foster, Nicola L.; Game, Chloe A.; Hitchin, Becky; Horton, Tammy; Hosking, Brett; Jones, Daniel Ob; Mah, Christopher; Laguionie Marchais, Claire; Menot, Lenaick; Morato, Telmo; Pearman, Tabitha R. R.; Piechaud, Nils; Ross, Rebecca E.; Ruhl, Henry A.; Saeedi, Hanieh; Stefanoudis, Paris V.; Taranto, Gerald H.; Thompson, Michael B.; Taylor, James R.; Tyler, Paul; Vad, Johanne; Victorero, Lissette; Vieira, Rui P.; Woodall, Lucy C.; Xavier, Joana R.; Wagner, Daniel.
Video and image data are regularly used in the field of benthic ecology to document biodiversity. However, their use is subject to a number of challenges, principally the identification of taxa within the images without associated physical specimens. The challenge of applying traditional taxonomic keys to the identification of fauna from images has led to the development of personal, group, or institution level reference image catalogues of operational taxonomic units (OTUs) or morphospecies. Lack of standardisation among these reference catalogues has led to problems with observer bias and the inability to combine datasets across studies. In addition, lack of a common reference standard is stifling efforts in the application of artificial intelligence to...
Tipo: Text
Ano: 2019
URL: https://archimer.ifremer.fr/doc/00602/71408/69862.pdf