YOLO‐Behaviour: A simple, flexible framework to automatically quantify animal behaviours from videos

Abstract Manually coding behaviours from videos is essential to study animal behaviour but it is labour‐intensive and susceptible to inter‐rater bias and reliability issues. Recent developments of computer vision tools enable the automatic quantification of behaviours, supplementing or even replacin...

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Bibliographic Details

Published in:	Methods in Ecology and Evolution
Main Authors:	Alex Hoi Hang Chan, Prasetia Putra, Harald Schupp, Johanna Köchling, Jana Straßheim, Britta Renner, Julia Schroeder, William D. Pearse, Shinichi Nakagawa, Terry Burke, Michael Griesser, Andrea Meltzer, Saverio Lubrano, Fumihiro Kano
Format:	Article
Language:	English
Published:	Wiley 2025-04-01
Subjects:	animal behaviour behavioural recognition computer vision machine learning
Online Access:	https://doi.org/10.1111/2041-210X.14502