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Motion and interaction of social insects (such as ants) have been studied bymany researchers to understand the clustering mechanism. Most studies in thefield of ant behavior have only focused on indoor environments, while outdoorenvironments are still underexplored. In this paper, we collect 10 videos ofant colonies from different indoor and outdoor scenes. And we develop an imagesequence marking software named VisualMarkData, which enables us to provideannotations of ants in the video. In all 5354 frames, the location informationand the identification number of each ant are recorded for a total of 712 antsand 114112 annotations. Moreover, we provide visual analysis tools to assessand validate the technical quality and reproducibility of our data. It is hopedthat this dataset will contribute to a deeper exploration on the behavior ofthe ant colony.

A dataset of ant colonies motion trajectories in indoor and outdoor scenes for social cluster behavior study