ClassifyMe: A field-scouting software for the identification of wildlife in camera trap images

Greg Falzon, Christopher Lawson, Ka Wai Cheung, Karl Vernes, Guy A. Ballard, Peter J.S. Fleming, Alistair S. Glen, Heath Milne, Atalya Mather-Zardain, Paul D. Meek

Research output: Contribution to journalArticlepeer-review

31 Citations (Scopus)
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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.

Original languageEnglish
Article number58
Number of pages16
Issue number1
Publication statusPublished - Jan 2020
Externally publishedYes

Bibliographical note

© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (


  • Camera trap data management
  • Camera traps
  • Deep learning
  • Ecological software
  • Species recognition
  • Wildlife monitoring


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