Species-level image classification with convolutional neural network enables insect identification from habitus images.

Hansen, Oskar L P; Svenning, Jens-Christian; Olsen, Kent; Dupont, Steen; Garner, Beulah H; Iosifidis, Alexandros; Price, Benjamin W; Høye, Toke T

Hansen, Oskar L P; Svenning, Jens-Christian; Olsen, Kent; Dupont, Steen; Garner, Beulah H; Iosifidis, Alexandros; Price, Benjamin W; Høye, Toke T.

Afiliação

Hansen OLP; Department of Bioscience Center for Biodiversity Dynamics in a Changing World (BIOCHANGE) Aarhus University Aarhus C Denmark.
Svenning JC; Department of Bioscience Section for Ecoinformatics and Biodiversity Aarhus University Aarhus C Denmark.
Olsen K; Natural History Museum Aarhus Aarhus C Denmark.
Dupont S; Department of Bioscience Center for Biodiversity Dynamics in a Changing World (BIOCHANGE) Aarhus University Aarhus C Denmark.
Garner BH; Department of Bioscience Section for Ecoinformatics and Biodiversity Aarhus University Aarhus C Denmark.
Iosifidis A; Natural History Museum Aarhus Aarhus C Denmark.
Price BW; Life Sciences Natural History Museum London UK.
Høye TT; Life Sciences Natural History Museum London UK.

Ecol Evol ; 10(2): 737-747, 2020 Jan.

Article em En | MEDLINE | ID: mdl-32015839

Palavras-chave

arthropod sampling; automatic species identification; camera trap; entomological collection; image classification; image database

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article