2022/04/09 by Meihong Wu, Xiaoyan Cao, Wu, Meihong +5
Agricultural and Biological Sciences · Biochemistry, Genetics and Molecular Biology · Computer Science · Neuroscience · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Insect and Arachnid Ecology and Behavior #Neurobiology and Insect Physiology Research #Plant and animal studies #cs.CV
paper · pdf · doi:10.48550/arxiv.2204.04380
arxiv created 2022/04/09 · openalex publication_date 2022/04/09 · arxiv updated 2022/04/12 · openalex created_date 2022/04/14 · openalex updated_date 2026/07/28
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.