Can CNN‐based species classification generalise across variation in habitat within a camera trap survey?

Can CNN‐based species classification generalise across variation in habitat within a camera trap survey?

Abstract Camera trap surveys are a popular ecological monitoring tool that produce vast numbers of images making their annotation extremely time‐consuming. Advances in machine learning, in the form of convolutional neural networks, have demonstrated potential for automated image classification, redu...

Full description

Bibliographic Details
Main Authors: Danielle L. Norman, Philipp H. Bischoff, Oliver R. Wearn, Robert M. Ewers, J. Marcus Rowcliffe, Benjamin Evans, Sarab Sethi, Philip M. Chapman, Robin Freeman
Format: Article
Language:English
Published: Wiley 2023-01-01
Series:Methods in Ecology and Evolution
Subjects:
camera trap
convolutional neural network
deep learning
disturbance
generalisability
image classification
Online Access:https://doi.org/10.1111/2041-210X.14031

Internet

https://doi.org/10.1111/2041-210X.14031

Similar Items