Automatic image-based identification and biomass estimation of invertebrates

no code implementations • 5 Feb 2020 • Johanna Ärje, Claus Melvad, Mads Rosenhøj Jeppesen, Sigurd Agerskov Madsen, Jenni Raitoharju, Maria Strandgård Rasmussen, Alexandros Iosifidis, Ville Tirronen, Kristian Meissner, Moncef Gabbouj, Toke Thomas Høye

We use this database to test the classification accuracy i. e. how well the species identity of a specimen can be predicted from images taken by the machine.

General Classification Management

Human experts vs. machines in taxa recognition

no code implementations • 23 Aug 2017 • Johanna Ärje, Jenni Raitoharju, Alexandros Iosifidis, Ville Tirronen, Kristian Meissner, Moncef Gabbouj, Serkan Kiranyaz, Salme Kärkkäinen

Contrary to previous findings in the literature, we find that for machines following a typical flat classification approach commonly used in machine learning performs better than forcing machines to adopt a hierarchical, local per parent node approach used by human taxonomic experts ($\overline{CE}=13. 8\%$).

BIG-bench Machine Learning General Classification +1