ClassifyMe : A Field-Scouting Software for the Identification of Wildlife in Camera Trap Images.

Autor: 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.; Vertebrate Pest Research Unit, NSW Department of Primary Industries, Allingham St, Armidale, NSW 2351, Australia., Fleming PJS; School of Environmental and Rural Science, University of New England, Armidale, NSW 2351, Australia.; Vertebrate Pest Research Unit, NSW Department of Primary Industries, 1447 Forest Road, Orange, NSW 2800, Australia., Glen AS; Manaaki Whenua-Landcare Research, Private Bag 92170, Auckland 1142, New Zealand., Milne H; Vertebrate Pest Research Unit, NSW Department of Primary Industries, Allingham St, Armidale, NSW 2351, Australia., Mather-Zardain A; IO Design Australia, Armidale, NSW 2350, Australia., Meek PD; School of Environmental and Rural Science, University of New England, Armidale, NSW 2351, Australia.; Vertebrate Pest Research Unit, NSW Department of Primary Industries, PO Box 530, Coffs Harbour, NSW 2450, Australia.
Jazyk: angličtina
Zdroj: Animals : an open access journal from MDPI [Animals (Basel)] 2019 Dec 27; Vol. 10 (1). Date of Electronic Publication: 2019 Dec 27.
DOI: 10.3390/ani10010058
Abstrakt: 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.
Competing Interests: The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.
Databáze: MEDLINE
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