Real and Synthetic Dataset for Active Shooter Situations
Joshua R. Waite, Riley Tavassoli, Harris, Laura, Jiale Feng, Sin Yong Tan, Subhadeep Chakraborty, Soumik Sarkar · Zenodo (CERN European Organization for Nuclear Research) · 2023
This dataset includes annotations for shooters (both person and visible portion of the gun) and guns in a primarily indoor setting. The synthetic data was generated using Unreal Engine 4 and Unreal Engine 5 and contains both the default semi-realistic textures of the environments and segmentation masks as a form of domain randomization. The textured synthetic data was further augmented with camera sensor effects as another domain adaptation technique. The folders use the following notation: T denotes textured synthetic, M denotes masked synthetic, R denotes real, and the prefix A denotes augmented. We also include some annotated videos for evaluating tracking performance.