IFSOD is a specialized infrared imaging dataset designed for few-shot object detection benchmarks. The dataset contains multi-scenario infrared images across 18 categories with predefined base/novel class splits following the Fsdet setting. It includes three partition schemes with 10-shot support for novel classes, supporting evaluation of few-shot learning methods on armored vehicles, pedestrians, and other targets in infrared spectrum.