HIT-UAV: A high-altitude infrared thermal dataset for Unmanned Aerial Vehicle-based object detection

We present the HIT-UAV dataset, a high-altitude infrared thermal dataset for object detection applications on Unmanned Aerial Vehicles (UAVs). The dataset comprises 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. Moreover, the HIT-UAV provides essential flight data for each image, including flight altitude, camera perspective, date, and daylight intensity. For each image, we have manually annotated object instances with bounding boxes of two types (oriented and standard) to tackle the challenge of significant overlap of object instances in aerial images. To the best of our knowledge,…

• NN
  National Natural Science Foundation of China

  Awards: 62101480, 62162067, 62072434
• CP
  China Postdoctoral Science Foundation

  Award: 2021M693227
• NS
  Natural Science Foundation of Yunnan Province

  Awards: No.202005AC160007, No.202001BB050076