 The HIT UAV dataset is a high-altitude infrared thermal dataset for object detection applications on unmanned aerial vehicles, UAVs. It contains 2,898 infrared thermal images extracted from 43,470 frames in hundreds of videos captured by UAVs in various scenarios, such as schools, parking lots, roads, and playgrounds. Additionally, it includes essential flight data, such as flight altitude, camera perspective, date, and daylight intensity. Furthermore, the dataset also contains manually annotated bounding boxes of two types, oriented and standard, to address the challenge of significant overlap of object instances in aerial images. This makes the HIT UAV one of the most comprehensive datasets for UAV-based object detection. This article was authored by Jiaxuan Siuo, Chenyuan, Xinzhou Zhong, and others. We are article.tv, links in the description below.