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
DOI (Link zu den Daten)
Link zur Lizenz
Angaben zur Forschungsförderung
Deutsche Forschungsgemeinschaft (DFG): EXC 2117 – 422037984
Projekt
Core Facility der Universität Konstanz
Titel in einer weiteren Sprache
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
Zitieren
ISO 690
CHAN, 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 videosBibTex
RDF
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