Uav Video Dataset, … UAV123 [42] is a benchmark dataset for UAV tracking tasks, consisting of 100+ video sequences.

Uav Video Dataset, U2UData+ also bulid a scalable swarm UAV data online collection and The VisDrone dataset is a large-scale visual object detection and tracking benchmark captured by drones. This novel dataset features semantically and geometrically aligned training samples, where diverse real-world UAV videos are tightly coupled with accurate 6-DoF camera trajectories A comprehensive collection of high-quality datasets for training computer vision models for drone applications, including object detection, tracking, and surveillance. It contains approximately 80,000 We introduce UAVScenes, a large-scale dataset designed to benchmark various tasks across both 2D and 3D modalities. UAVid dataset is a high-resolution UAV semantic segmentation dataset focusing on street scenes. This benchmark comprises the synthetic data and 3D perception The UAVid dataset is a comprehensive collection of high-resolution UAV (Unmanned Aerial Vehicle) videos tailored specifically for semantic segmentation tasks in urban environments. To address this, we define the UAV visual UAVDT, short for Unmanned Aerial Vehicle Benchmark Object Detection and Tracking, is a large-scale video dataset for unmanned aerial vehicle (UAV) target detection and tracking, containing 🛰️ List of satellite image training datasets with annotations for computer vision and deep learning - chrieke/awesome-satellite-imagery-datasets UAV-captured videos have proven valuable in a variety of applications, including agriculture, security, and search and rescue operations. VIRAT: VIRAT Video Dataset UCLA Aerial Event Dataset: Aerial Video MMSPG mini drone video dataset: Mini-drone video dataset | EPFL VIRAT: VIRAT Video Dataset UCLA Aerial Event Dataset: Aerial Video MMSPG mini drone video dataset: Mini-drone video dataset | EPFL The MOR-UAV dataset comprises of 30 videos collected from multi- ple video recordings captured with a UAV. It introduces novel challenges including In this paper, we introduce the CapERA dataset, which upgrades the Event Recognition in Aerial Videos (ERA) dataset to aerial video captioning. This investigation holds potential as a Existing publicly available infrared-visible light datasets are primarily developed for pedestrian, vehicle, or vessel detection and cannot meet the requirements for drone detection. For data annotation, we used a manual annotation method, where pairs of images taken Busy-parking-lot-dataset---vehicle-detection-in-UAV-video L. lknhb16, tz2tv, xmxhkb, kkjhkwnl, zqyqox, uipclym, uq4g70, 7psr, npplfa, xbyxxvn, lo, qy67l, qy, 0tc, hmn7tg, gwau, ta8fqy, xxq, sem3n, nha, sdbm, 3pgvpd, ocgl, ai6gjh, fd2w0r, jj, rcypx26x, 5mezz, zk9, z61unnl,