Datensatz: Additional dataset for: Peering into the world of wild passerines with 3D-SOCS : synchronized video capture for posture estimation
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Datum der Erstveröffentlichung
2024
Andere Beitragende
Repositorium der Erstveröffentlichung
Max Planck Digital Library
Version des Datensatzes
DOI (Link zu den Daten)
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
This dataset includes sample data to reproduce the 3D-SOCS pipeline, as well as an annotated dataset and trained model weights for object detection and 2D keypoint estimation for Great tits and Blue tits. For more details, code and implementation of the pipeline, we refer to: https://github.com/alexhang212/3D-SOCS
Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
570 Biowissenschaften, Biologie
Schlagwörter
Biology, Computer Science, Systems and Electrical Engineering, Computer Vision, Great Tit, 3D Posture Tracking
Link zu zugehöriger Publikation
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ISO 690
CHIMENTO, Michael, Hoi Hang CHAN, Lucy M. APLIN, Fumihiro KANO, 2024. Additional dataset for: Peering into the world of wild passerines with 3D-SOCS : synchronized video capture for posture estimationBibTex
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