1 to 3 of 3 Results
Aug 22, 2024
Chan, Hoi Hang; Putra, Prasetia; Schupp, Harald; Köchling, Johanna; Straßheim, Jana; Renner, Britta; Schroeder, Julia; Pearse, William D; Nakagawa, Shinichi; Burke, Terry; Griesser, Michael; Meltzer, Andrea; Lubrano, Saverio; Kano, Fumihiro, 2024, "Sample Dataset for YOLO-Behaviour: A simple, flexible framework to automatically quantify animal behaviours from videos", https://doi.org/10.17617/3.EZNKYV, Edmond, V1
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_Beh... |
Jun 13, 2024
Chimento, Michael; Chan, Hoi Hang; Aplin, Lucy; Kano, Fumihiro, 2024, "Additional dataset for: Peering into the world of wild passerines with 3D-SOCS: synchronized video capture for posture estimation", https://doi.org/10.17617/3.ZQMOJ3, Edmond, V1
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: htt... |
Jan 3, 2024
Waldmann, Urs; Chan, Hoi Hang Alex; Naik, Hemal; Nagy, Mate; Couzin, Iain D.; Deussen, Oliver; Goldluecke, Bastian; Kano, Fumihiro, 2024, "Wild-MuPPET - Multi-view posture dataset of foraging pigeons in the wild", https://doi.org/10.17617/3.ENDMTI, Edmond, V1
Wild-MuPPET is a multi-view posture dataset of foraging pigeons outdoors, with 500 frames of 3D-ground truth and 2000 frames of 2D-ground truth of 9 keypoints. Paper: https://doi.org/10.48550/arXiv.2308.15316 Git repository: https://github.com/alexhang212/3D-MuPPET |