ClassifyMe: A Field-Scouting Software for the Identification of Wildlife in Camera Trap Images
| Autor: | Atalya T. Mather-Zardain, Heath Milne, Alistair S. Glen, Greg Falzon, Christopher Lawson, Guy Ballard, Peter J. S. Fleming, Ka Wai Cheung, Paul D. Meek, Karl Vernes |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
0106 biological sciences
business.product_category Workstation Computer science Cloud computing 010603 evolutionary biology 01 natural sciences Article Field (computer science) law.invention Upload Software camera traps species recognition law lcsh:Zoology Internet access Computer vision lcsh:QL1-991 camera trap data management ecological software wildlife monitoring lcsh:Veterinary medicine General Veterinary business.industry 010604 marine biology & hydrobiology deep learning Identification (information) Laptop lcsh:SF600-1100 Animal Science and Zoology Artificial intelligence business |
| Zdroj: | Animals, Vol 10, Iss 1, p 58 (2019) Animals Volume 10 Issue 1 Animals : an Open Access Journal from MDPI |
| ISSN: | 2076-2615 |
| Popis: | 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&rsquo s local machine (own laptop or workstation)&mdash 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&rsquo end-device allows them data control and resolves privacy issues surrounding transfer and third-party access to users&rsquo datasets. |
| Databáze: | OpenAIRE |
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