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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