Behavioral Coding of Captive African Elephants (<i>Loxodonta africana</i>): Utilizing DeepLabCut and Create ML for Nocturnal Activity Tracking

Behavioral Coding of Captive African Elephants (<i>Loxodonta africana</i>): Utilizing DeepLabCut and Create ML for Nocturnal Activity Tracking

This study investigates the possibility of using machine learning models created in DeepLabCut and Create ML to automate aspects of behavioral coding and aid in behavioral analysis. Two models with different capabilities and complexities were constructed and compared to a manually observed control p...

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Bibliographic Details
Main Authors: Silje Marquardsen Lund, Jonas Nielsen, Frej Gammelgård, Maria Gytkjær Nielsen, Trine Hammer Jensen, Cino Pertoldi
Format: Article
Language:English
Published: MDPI AG 2024-09-01
Series:Animals
Subjects:
machine learning
nocturnal behavior
computer vision
captive elephants
Online Access:https://www.mdpi.com/2076-2615/14/19/2820
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https://www.mdpi.com/2076-2615/14/19/2820

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