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.

中文翻译：

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用于社会集群行为研究的室内外场景中蚁群运动轨迹数据集

许多研究人员已经研究了社会昆虫（例如蚂蚁）的运动和相互作用，以了解聚类机制。蚂蚁行为领域的大多数研究都只关注室内环境，而室外环境尚待探索。在本文中，我们收集了 10 个来自不同室内和室外场景的蚁群视频。我们开发了一个名为 VisualMarkData 的图像序列标记软件，它使我们能够在视频中提供蚂蚁的注释。在所有 5354 帧中，记录了每只蚂蚁的位置信息和标识号，总共 712 只蚂蚁和 114112 条注释。此外，我们提供可视化分析工具来评估和验证我们数据的技术质量和可重复性。