Your browser doesn't support javascript.
loading
ClassifyMe: A Field-Scouting Software for the Identification of Wildlife in Camera Trap Images.
Falzon, Greg; Lawson, Christopher; Cheung, Ka-Wai; Vernes, Karl; Ballard, Guy A; Fleming, Peter J S; Glen, Alistair S; Milne, Heath; Mather-Zardain, Atalya; Meek, Paul D.
Afiliação
  • Falzon G; School of Science and Technology, University of New England, Armidale, NSW 2351, Australia.
  • Lawson C; School of Science and Technology, University of New England, Armidale, NSW 2351, Australia.
  • Cheung KW; School of Science and Technology, University of New England, Armidale, NSW 2351, Australia.
  • Vernes K; School of Environmental and Rural Science, University of New England, Armidale, NSW 2351, Australia.
  • Ballard GA; School of Environmental and Rural Science, University of New England, Armidale, NSW 2351, Australia.
  • Fleming PJS; Vertebrate Pest Research Unit, NSW Department of Primary Industries, Allingham St, Armidale, NSW 2351, Australia.
  • Glen AS; School of Environmental and Rural Science, University of New England, Armidale, NSW 2351, Australia.
  • Milne H; Vertebrate Pest Research Unit, NSW Department of Primary Industries, 1447 Forest Road, Orange, NSW 2800, Australia.
  • Mather-Zardain A; Manaaki Whenua-Landcare Research, Private Bag 92170, Auckland 1142, New Zealand.
  • Meek PD; Vertebrate Pest Research Unit, NSW Department of Primary Industries, Allingham St, Armidale, NSW 2351, Australia.
Animals (Basel) ; 10(1)2019 Dec 27.
Article em En | MEDLINE | ID: mdl-31892236
ABSTRACT
We present ClassifyMe a software tool for the automated identification of animal species from camera trap images. ClassifyMe is intended to be used by ecologists both in the field and in the office. Users can download a pre-trained model specific to their location of interest and then upload the images from a camera trap to a laptop or workstation. ClassifyMe will identify animals and other objects (e.g., vehicles) in images, provide a report file with the most likely species detections, and automatically sort the images into sub-folders corresponding to these species categories. False Triggers (no visible object present) will also be filtered and sorted. Importantly, the ClassifyMe software operates on the user's local machine (own laptop or workstation)-not via internet connection. This allows users access to state-of-the-art camera trap computer vision software in situ, rather than only in the office. The software also incurs minimal cost on the end-user as there is no need for expensive data uploads to cloud services. Furthermore, processing the images locally on the users' end-device allows them data control and resolves privacy issues surrounding transfer and third-party access to users' datasets.
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: Animals (Basel) Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: Animals (Basel) Ano de publicação: 2019 Tipo de documento: Article