M3OT:A Multi-Drone Multi-Modality dataset for Multi-Object Tracking

We provide a dataset for target detection and tracking in aerial imagery-M3OT, a multimodal vehicle detection and tracking dataset acquired by two Unmanned Aerial Vehicles（UAVs) in a high altitude region. The dataset consists of both RGB and infrared thermal (IR) modalities, with two drones` altitudes ranging from 100m to 120m. The dataset consists of 21,580 frames extracted from 8 hours of video, 10790 paired RGB- Infrared thermal (IR) images from two UAVs, and 220,000 bounding boxes across various environments, including suburban, urban, daytime, dusk, and night. This dataset can serve as a benchmark for object detection, multiple object tracking, and other computer vision tasks.本数据集为航空影像中的目标检测与跟踪任务而构建，命名为M3OT，是由两架无人机（Unmanned Aerial Vehicle，UAV）在高空区域采集的多模态车辆检测与跟踪数据集。该数据集包含RGB（Red-Green-Blue）与红外热成像（IR）两种模态数据，两架无人机的飞行高度范围为100米至120米。本数据集包含从8小时视频中提取的21580帧影像、来自两架无人机的10790组RGB-红外热成像配对图像，以及覆盖郊区、城区、日间、黄昏与夜间多种场景的220000个标注边界框。该数据集可作为目标检测、多目标跟踪及其他计算机视觉任务的基准测试集。