A dataset of ant colonies motion trajectories in indoor and outdoor scenes for social cluster behavior study
This provides a new dataset for researchers studying ant social behavior, addressing a gap in outdoor environment data, though it is incremental as it extends existing indoor-focused work.
The researchers tackled the lack of outdoor ant colony motion data by collecting 10 videos from indoor and outdoor scenes, providing a dataset with 114,112 annotations for 712 ants across 5,354 frames using custom annotation software. This dataset aims to enable deeper study of ant clustering behavior.
Motion and interaction of social insects (such as ants) have been studied by many researchers to understand the clustering mechanism. Most studies in the field of ant behavior have only focused on indoor environments, while outdoor environments are still underexplored. In this paper, we collect 10 videos of ant colonies from different indoor and outdoor scenes. And we develop an image sequence marking software named VisualMarkData, which enables us to provide annotations of ants in the video. In all 5354 frames, the location information and the identification number of each ant are recorded for a total of 712 ants and 114112 annotations. Moreover, we provide visual analysis tools to assess and validate the technical quality and reproducibility of our data. It is hoped that this dataset will contribute to a deeper exploration on the behavior of the ant colony.