2026-10-13T21:02:24Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33685012 2026-09-16T11:26:02Z category_23911 category_28864 item_type_3 month_year_09_2026

Code and data for "Recognition of grazing behavior in complex environments based on the YOLO model" Mi Jinfeng (24302834) Animal production not elsewhere classified Artificial intelligence not elsewhere classified grazing behaviors YOLOv8 livestock monitoring pose estimation <p dir="ltr">Dataset, code, and trained models for the manuscript "Recognition of grazing behavior in complex environments based on the YOLO model".</p><p><br></p><p dir="ltr">Contents:</p><p dir="ltr">(1) zenodo_package.rar — dataset v2 (1,200 train / 200 validation / 200 sequence-held-out test images, four behavior classes: grazing, walking, resting, human interference; YOLO format with annotation provenance); pose keypoint datasets in silver (model-assisted) and fully human-verified (gold) versions, six keypoints per sheep; trained YOLOv8x detector and YOLOv8n-pose weights with evaluation artifacts; dataset and pose-track reports.</p><p dir="ltr">(2) zenodo_code.rar — the complete experiment pipeline and reproduction scripts (dataset build, training matrix, ablation, pose track, BoT-SORT tracking, cascade evaluation), with CPU/GPU requirements and a reproduction guide.</p><p><br></p><p dir="ltr">All reported results regenerate from these scripts plus the deposited data (fixed random seed 0). Related video samples are hosted at https://doi.org/10.6084/m9.figshare.32824283.</p><p><br></p> 2026-09-16T11:26:02Z Dataset Dataset 10.6084/m9.figshare.33685012.v2 https://figshare.com/articles/dataset/Code_and_data_for_Recognition_of_grazing_behavior_in_complex_environments_based_on_the_YOLO_model_/33685012 CC BY 4.0