Datensatz:

Sample Dataset for YOLO-Behaviour: A simple, flexible framework to automatically quantify animal behaviours from videos

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Datum der Erstveröffentlichung

2024

Autor:innen

Köchling, Johanna
Straßheim, Jana
Schroeder, Julia
Pearse, William D
Nakagawa, Shinichi
Burke, Terry

Andere Beitragende

Repositorium der Erstveröffentlichung

Max Planck Digital Library

Version des Datensatzes

V1
Link zur Lizenz

Angaben zur Forschungsförderung

Deutsche Forschungsgemeinschaft (DFG): EXC 2117 – 422037984

Projekt

Core Facility der Universität Konstanz
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Publikationsstatus
Published

Zusammenfassung

Sample dataset and weights for YOLO-Behaviour framework. Required to run demo code in the documentation. Also provided bounding box datasets for 4 case studies in YOLO format. The human dataset is not included due to privacy concerns. Code: https://github.com/alexhang212/YOLO_Behaviour_Repo Documentation: https://alexhang212.github.io/YOLO_Behaviour_Repo/

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
570 Biowissenschaften, Biologie

Schlagwörter

Biology, Computer Science, Systems and Electrical Engineering

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ISO 690CHAN, Hoi Hang, Prasetia PUTRA, Harald T. SCHUPP, Johanna KÖCHLING, Jana STRASSHEIM, Britta RENNER, Julia SCHROEDER, William D PEARSE, Shinichi NAKAGAWA, Terry BURKE, Michael GRIESSER, Andrea MELTZER, Saverio LUBRANO, Fumihiro KANO, 2024. Sample Dataset for YOLO-Behaviour: A simple, flexible framework to automatically quantify animal behaviours from videos
BibTex
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