OBBPose dataset for direction-aware detection, pose tracking, and fish behavior analysis

This dataset supports the study "A Direction-Aware Detection and Pose-Tracking Framework for Quantifying Micropterus salmoides Swimming Behavior." It contains 861 paired images and oriented-bounding-box/pose annotations, including 601 training, 173 validation, and 87 test samples. The package also contains three tracking-evaluation videos with frame-level XML annotations, selected model weights for seeds 0, 111, and 222, available training records, behavioral-validation time series, dataset manifests, and machine-readable values reported in the manuscript. Some comparison rows in manuscript Tables 1 and 2 do not have complete per-seed raw records in the source project. Their reported summary values are preserved in the paper_tables directory with provenance information. The accompanying software is available at: https://github.com/XuRanHao/OBBPose Archived software release: https://doi.org/10.5281/zenodo.21802941本数据集用于支撑研究论文《面向大口黑鲈（Micropterus salmoides）游泳行为量化的方向感知检测与姿态跟踪框架》。 该数据集包含861组配对图像与方向边界框（oriented-bounding-box）、姿态标注数据，其中训练集含601组样本、验证集173组样本、测试集87组样本。数据包还附带三段带有帧级可扩展标记语言（XML）标注的跟踪评估视频、随机种子（seed）0、111与222对应的可选模型权重、可用训练日志、行为验证时间序列数据、数据集清单，以及论文中报告的可机器读取的数值结果。 论文表1与表2中的部分对比行未在源项目中留存完整的单种子原始记录，其报告的汇总数值已保存至paper_tables目录，并附带溯源信息。 配套开源软件可通过以下地址获取：https://github.com/XuRanHao/OBBPose 存档版软件发布包可通过以下DOI获取：https://doi.org/10.5281/zenodo.21802941