Drone vehicle dataset. Generally suitable for working with Dec 8, 2025 · M3OT is a multi-m...

Drone vehicle dataset. Generally suitable for working with Dec 8, 2025 · M3OT is a multi-modality vehicle detection and tracking dataset acquired by two Unmanned Aerial Vehicles (UAVs) in a high-altitude region, consisting both RGB and infrared thermal (IR) modalities Apr 18, 2022 · Drone-based vehicle detection aims at detecting vehicle locations and categories in aerial images. The dataset supports applications in smart city traffic management and disaster rescue by enhancing aerial vehicle localization and classification from drone perspectives. Our DroneVehicle collects 28,439 RGB-Infrared image pairs, covering urban roads, residential areas, parking lots, and other scenarios from day to night. Dec 8, 2025 · M3OT is a multi-modality vehicle detection and tracking dataset acquired by two Unmanned Aerial Vehicles (UAVs) in a high-altitude region, consisting both RGB and infrared thermal (IR) 3 days ago · Ukraine is offering its vast battlefield dataset—including millions of annotated drone images and videos—to allies for training AI-driven drone systems via a secure platform, aiming to accelerate autonomous capabilities and sustain support in its war with Russia. In this paper, we present a trajectory dataset from a German highway with two . Mar 2, 2026 · This paper presents a set of independently collected datasets designed to investigate the detection of unmanned aerial vehicle targets in infrared and visible light imagery. It empowers smart city traffic management and disaster relief. The benchmark dataset consists of 288 video clips formed by 261,908 frames and 10,209 static images, captured by various drone-mounted cameras, covering a wide range of aspects including location (taken from 14 different cities separated by thousands of kilometers in China), environment (urban and country), objects (pedestrian, vehicles Jun 28, 2025 · The dataset consists of high-resolution images and videos collected using drones flying over urban and suburban environments across various cities in China. It contains carefully annotated ground truth data for various computer vision tasks related to drone-based image and video analysis. Nov 25, 2019 · This dataset is prepared for our 2019 year "Amateur Drone Detection and Tracking" project. wvr ryyao oqasf pubzx rnpl jvyaotv btxqcfy dskcle zkqtjmy sskygjz