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.

本数据集面向航空影像中的目标检测与跟踪任务，命名为M3OT——这是一套由两架无人机（Unmanned Aerial Vehicles，UAVs）在高海拔区域采集的多模态车辆检测与跟踪数据集。该数据集包含红-绿-蓝（RGB）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。数据集共包含从8小时航拍视频中提取的21580帧影像、两架无人机采集的10790组RGB-红外热成像配对图像，以及覆盖郊区、城市、日间、黄昏与夜间等多种场景的22万个标注边界框。本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。

搜集汇总

背景与挑战

背景概述

M3OT是一个用于多目标跟踪的多无人机多模态数据集，包含RGB和红外热成像(IR)两种模态，由两架无人机在100m至120m高度拍摄。数据集包含21,580帧图像（10,790对RGB-IR配对图像）和220,000个边界框，覆盖郊区、城市、白天、黄昏和夜晚等多种环境，可作为目标检测、多目标跟踪等计算机视觉任务的基准。