Comparisons of image-matching software when identifying pool frog (Pelophylax lessonae) individuals from a reintroduced population

Josh Dawson, Connor Panter, Inga Zeisset

Research output: Contribution to journalArticlepeer-review

Abstract

Photographic identification of individual animals is a
non-invasive and cost-effective method that can provide
demographic information on wild populations. This study
aims to compare two photo-matching algorithms (WildID and I3S-Spot) using a reintroduced population of pool
frogs (Pelophylax lessonae) in the UK as a case study. We
compared the following parameters 1) sex and age, 2)
image quality, 3) image collection size and 4) processing
time to evaluate successful image match rates. There were
no significant differences in successful match rates found
between sex and age groups. Wild-ID was more sensitive
to image quality than I3S-Spot. There was a significant
negative relationship between image collection size and
successful match rates for I3S-Spot, however, no such
relationship for Wild-ID. The findings of our study can be
used by conservation practitioners to reduce workload and
improve accuracy during population monitoring activities.
Original languageEnglish
Pages (from-to)55-59
Number of pages5
JournalHerpetological Journal
Volume31
Issue number1
DOIs
Publication statusPublished - 31 Jan 2021

Keywords

  • Amphibia
  • Capture-recapture
  • I3S
  • Photo identification
  • Population monitoring
  • Wild-ID

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