HIT-UAV Dataset

The HIT-UAV: A High-Altitude Infrared Thermal Dataset for Unmanned Aerial Vehicle-Based Object Detection dataset consists of 2,898 infrared thermal images. These images were extracted from a larger pool of 43,470 frames sourced from numerous videos, all of which were publicly available and had undergone desensitization for privacy reasons. In order to enhance the dataset's utility for various tasks, the HIT-UAV10 dataset includes two types of annotated bounding boxes for each object within the images: oriented bounding boxes, designed to address the challenge of significant overlap between object instances in aerial images, and standard bounding boxes, aimed at facilitating efficient dataset utilization. This comprehensive dataset encompasses five distinct object categories: person, car, bicycle, other vehicle, and dontcare, totaling 24,899 annotated objects. The DontCare category encompasses objects that proved difficult for annotators to categorize accurately, with additional details provided in the Methods section.

HIT-UAV：一款针对无人机对象检测的高空红外热成像数据集，该数据集包含2,898张红外热成像图片。这些图片是从43,470帧更广泛的视频素材库中提取而来，所有这些视频均公开发布，并出于隐私保护原因进行了脱敏处理。为提升数据集在各种任务中的应用价值，HIT-UAV10数据集为图像中的每个对象提供了两种类型的标注边界框：面向对象的边界框，旨在解决航空图像中对象实例显著重叠的挑战；以及标准边界框，旨在促进数据集的高效利用。该数据集涵盖了五个不同的对象类别：人物、汽车、自行车、其他车辆和无关紧要，总计标注对象24,899个。无关紧要类别包括难以准确分类的对象，其详细信息将在方法部分提供。

搜集汇总

背景与挑战

背景概述

HIT-UAV数据集是一个用于无人机目标检测的高空红外热成像数据集，包含2,898张图像和24,899个标注对象，涵盖person、car等5个类别。数据集采集自60-130米高度、30-90度视角的无人机视频，提供定向和标准两种边界框标注，以处理对象重叠问题，并已通过YOLOv4等算法验证其有效性。