LaRA

LARa是第一个用于人类活动识别的免费物流数据集。在TU多特蒙德大学的 “物流创新实验室混合服务” 中，使用OMoCap，IMUs和RGB相机记录了两个具有14个主题的拣选和一个包装方案。758分钟的记录由12个注释者在474人小时内标记。随后的修订由4名审校在143人小时内进行。所有给定的数据都已标记并分类为8个活动类和19个二进制粗语义描述，也称为属性。

LARa is the first free logistics dataset for human activity recognition. In the "Logistics Innovation Lab Hybrid Services" at TU Dortmund University, two picking scenarios and one packaging scenario involving 14 subjects were recorded using OMoCap, IMUs and RGB cameras. 758 minutes of recorded data were annotated by 12 annotators over 474 person-hours. Subsequent revisions were conducted by 4 reviewers over 143 person-hours. All provided data have been annotated and categorized into 8 activity classes and 19 binary coarse semantic descriptions, also known as attributes.

搜集汇总

背景与挑战

背景概述

LaRA是一个用于人类活动识别的物流数据集，记录了14个主题的拣选和包装方案，包含758分钟的数据和详细的标记信息。数据集由多特蒙德工业大学于2020年发布，包含8个活动类和19个二进制粗语义描述。