We present a reply to a recent article in Ecology and Evolution ("Measuring agreement among experts in classifying camera images of similar species" by Gooliaff and Hodges) that demonstrated a lack of consistency in expert-based classification of images of similar-looking species. We disagree with several conclusions from the study, and show that with some training, and use of multiple images that is becoming standard practice in camera-trapping studies, even nonexperts can identify similar sympatric species with high consistency.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6580297 | PMC |
| http://dx.doi.org/10.1002/ece3.5255 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
We address the comments made by Thornton et al. (, 2019) in response to our recent article on measuring the agreement among experts in classifying camera images of bobcats and Canada lynx.
View Article and Find Full Text PDFWe present a reply to a recent article in Ecology and Evolution ("Measuring agreement among experts in classifying camera images of similar species" by Gooliaff and Hodges) that demonstrated a lack of consistency in expert-based classification of images of similar-looking species. We disagree with several conclusions from the study, and show that with some training, and use of multiple images that is becoming standard practice in camera-trapping studies, even nonexperts can identify similar sympatric species with high consistency.
View Article and Find Full Text PDFCamera trapping and solicitation of wildlife images through citizen science have become common tools in ecological research. Such studies collect many wildlife images for which correct species classification is crucial; even low misclassification rates can result in erroneous estimation of the geographic range or habitat use of a species, potentially hindering conservation or management efforts. However, some species are difficult to tell apart, making species classification challenging-but the literature on classification agreement rates among experts remains sparse.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!