2026-10-14T14:51:26Z https://www.scidb.cn/oai

10.57760/sciencedb.01694 2022-05-10T09:04:28Z

2022-05-10 POLIMI-ITW-S: A shopping mall dataset In-The-Wild doi:10.57760/sciencedb.01694 en Human activity recognition is attracting increasing research attention. Many activity recognition datasets have been created to support the development and evaluation of new algorithms. Given the lack of datasets collected In The Wild to support human activity recognition in public spaces, we introduce a large-scale video dataset for activity recognition In The Wild: POLIMI-ITW-S. The fully labeled dataset consists of 22,161 RGB video clips (about 46 hours) of 37 activity classes performed by 50K+ subjects in real shopping malls. We evaluated the state-of-the-art models on this dataset and get relatively low accuracy. We release the dataset including the annotations composed by person tracking bounding boxes, 2-D skeleton, and activity labels for research use Human activity recognition; Computer vision; Robotics; In The Wild Hao Quan Andrea Bonarini PUBLIC https://creativecommons.org/licenses/by-sa/4.0/ dataset Science Data Bank