Human expertise combined with artificial intelligence improves performance of snow leopard camera trap studies

Author:

Bohnett Eve,Poya Faryabi Sorosh,Lewison Rebecca,An Li,Bian Xiaoxing,Rajabi Ali Madad,Jahed Nasratullah,Rooyesh Hashim,Mills Erica,Ramos Saber,Mesnildrey Nathan,Santoro Perez Carolina M.,Taylor Janet,Terentyev Vladimir,Ostrowski Stephane

Publisher

Elsevier BV

Subject

Nature and Landscape Conservation,Ecology,Ecology, Evolution, Behavior and Systematics

Reference47 articles.

1. Face value: towards robust estimates of snow leopard densities;Alexander;PLoS ONE,2015

2. Spatial capture–recapture with partial identity: an application to camera traps;Augustine;Ann. Appl. Stat.,2018

3. Rcapture: loglinear models for capture-recapture in R;Baillargeon;J. Stat. Softw.,2007

4. Performance of visual vs. software-assisted photo-identification in mark-recapture studies: a case study examining different life stages of the Pacific Horned Frog (Ceratophrys stolzmanni);Bardier;Amphib. -Reptil.,2020

5. Beery, S., 2016. Orientation Invariant Autonomous Recognition of Individual Snow Leopards 9.

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