Uav Video Dataset, Here, we offer … This dataset consists on videos at different setups of single UAV.

Uav Video Dataset, It is unrealistic for humans These 3 unmanned aerial vehicle (UAV) data platforms provide us with access to high-quality and free drone imagery in geospatial format. Large accelerations, We further construct a target-oriented VLN dataset consisting of approximately 12k trajectories on this platform, serving as the first dataset specifically designed for UAVIDS-2025 is a comprehensive benchmark dataset designed for evaluating intrusion detection systems (IDS) in UAV (Unmanned Aerial Vehicle) The dataset comprises 21,580 frames extracted from 8 hours of video, including 10,790 paired RGB- IR images captured by two UAVs, along Existing datasets for UAV visual localization are often limited to small geographic areas or are focused only on urban regions with distinct textures. Additionally, we introduce a high- esolution 360-degree video dataset captured from UAVs under different flying ch efforts focused on optimizing video streaming for time-varying UAV wireless channels. Additionally, we introduce a high- esolution 360-degree video dataset captured from UAVs under different flying To address this gap and advance multi-modal UAV perception, we introduce UAVScenes, a large-scale dataset designed to benchmark various tasks across both 2D and 3D modalities. To address this gap, we introduce the first large-scale Multispectral UAV Single Object Tracking dataset ABSTRACT Unmanned Aerial Vehicle (UAV) technology is being increasingly used in a wide variety of applications ranging from remote sensing, to delivery and security. 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. The VisDrone [31] dataset includes 263 In order for object detection and tracking in videos obtained from unmanned aerial vehicles (UAVs) by deep convolutional neural networks (DCNN), extensive ground truth optical flow, The authors of the UAVid: A Semantic Segmentation Dataset for UAV Imagery dataset discussed the significance of semantic segmentation, a crucial aspect of In summary, the contributions of this paper are as follows: Introduction of RescueNet, a high-resolution aerial imagery dataset captured using unmanned aerial vehicles (UAVs). Introduction UAV3D is a public large-scale benchmark designed for 3D perception tasks from Unmanned Aerial Vehicle (UAV) platforms. The Drone Sensor Fusion Dataset features high-quality telemetry data from real and attack-modeled UAV flights, leveraging the PX4 flight log Existing datasets for UAV visual localization are often limited to small geographic areas or are focused only on urban regions with distinct textures. They have been the standard datasets for comparison Currently, public datasets for testing mosaicking algorithms contain sequences acquired at very high-altitude, while, datasets that contain geo-referenced sequences acquired at low-altitude for testing Curated Datasets for Computer Vision High-quality datasets with deep 🔎 analysis and 📊 visualizations. Upload your flight either manually or automatically. UAV123 [42] is a benchmark dataset for UAV tracking tasks, consisting of 100+ video sequences. These videos provide unique aerial tection from the image, object detection from the video, and object tracking from the video. A new UAV based multi-scene anomaly detection dataset is developed with frame-level annotations for the development of computer aided systems. It has several features: Semantic For each video, there are multiple target UAVs (up to 8) which have various appearances and shapes. The UAVid dataset is a comprehensive collection of high-resolution UAV (Unmanned Aerial Vehicle) videos tailored specifically for semantic segmentation tasks in urban environments. This dataset is essentially different from the videos in mainstream tracking datasets such as OTB50 and VOT2014. Vision-based approaches, especially How would you describe this dataset? Well-documented 0 Well-maintained 0 Clean data 0 Original 0 High-quality notebooks 0 Other text_snippet We’re on a journey to advance and democratize artificial intelligence through open source and open science. Provision of UVSD is a large dataset for UAV based vehicle detection and segmentation. Codes include a two Visual tracking from the ground view and the UAV view has received increasing attention due to its wide range of practical applications. It consists of 50 challenging aerial video sequences acquired at low-altitude in different This dataset consists of different repositories including raw aerial videos recorded by drones' cameras and also raw heatmap footage recorded by The authors constructed a new UAVDT Dataset focused on complex scenarios with new level challenges. For data annotation, we used a manual annotation method, where pairs of images taken Busy-parking-lot-dataset---vehicle-detection-in-UAV-video L. Contribute to CenekAlbl/drone-tracking-datasets development by creating an account on GitHub. 7 million high-resolution (1920*1080 pixels) In recent years, incidents involving drones have increased significantly, raising concerns over security and privacy, especially concerning civilian and military facilities. However, there is no dataset for UAV2UAV tracking. This video shows the appearance of a flood disaster in Jakarta at the beginning of 2020. As To fill this gap, we present a new UAV detection dataset called the real-world scenarios dataset (RWSD). This indicates the significance of collecting different data modalities, to facilitate the development of various models for analyzing huma behaviors under The dataset comprises UAV video sequences that focus on urban scenes. Multi-modal perception is essential for unmanned aerial vehicle (UAV) operations, as it enables a comprehensive understanding of the UAVs' surrounding environment. Due to the high We’re on a journey to advance and democratize artificial intelligence through open source and open science. Our benchmark dataset is built upon About We introduce the UZH-FPV Drone Racing dataset, which is the most aggressive visual-inertial odometry dataset to date. To facilitate the research and development of UAV VVD, we construct the first large-scale well-annotated benchmark UAV VVD dataset, which includes 70 UAV videos captured at a 500-m VisDrone Dataset The VisDrone Dataset is a large-scale benchmark created by the AISKYEYE team at the Lab of Machine Learning and Data Explore computer vision datasets for drones with deep analytics and visualizations at Dataset Ninja Datasets for deep learning applied to satellite and aerial imagery. g. To support research in View a PDF of the paper titled Streamlining Forest Wildfire Surveillance: AI-Enhanced UAVs Utilizing the FLAME Aerial Video Dataset for Lightweight and Efficient Monitoring, by Lemeng This dataset, DroneDetect, has been developed to support research in the field of drone detection using deep learning and computer vision. These two tasks have strong complementary benefits in the UAVDT 数据集是一个关于无人机目标检测与追踪的大规模视频数据集，支持在线使用，适用于相关领域的研究和应用。 We’re on a journey to advance and democratize artificial intelligence through open source and open science. Ideal for 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 In this study, we build and release a video dataset for trajectory prediction problem in complex crossroads, named UAV-captured Trajectory Prediction Dataset Additional Data and Annotations The large-scale Multiview Extended Video with Activities (MEVA) dataset features more than 250 hours of ground camera However, current datasets for moving object detection in UAV scenarios remain scarce, and related research is limited. It contains approximately 80,000 We introduce UAVScenes, a large-scale dataset designed to benchmark various tasks across both 2D and 3D modalities. 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. This poses Contribute to BinaLab/RescueNet-A-High-Resolution-Post-Disaster-UAV-Dataset-for-Semantic-Segmentation development by creating an account on GitHub. Therefore, this study first collected many UAV swarm videos and manually annotated a dataset named UAVSwarm dataset for UAV swarm Visual saliency prediction plays a crucial role in Unmanned Aerial Vehicle (UAV) video analysis tasks. UAV datasets encompass a wide array UAV video dataset for semantic segmentation GitHub Pull Request Quality Dataset 79K PRs from 24 repos with 142 features for predicting review time Drone Detection Dataset Repository. 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. We manually annotate the targets in the videos by using VATIC software to generate ground-truth Sample drone data | UAV Data Sets Globhe's Free Sample Data page. These datasets are Fly your drone using any of the supported flight apps. However, the current dataset is limited by Video captured from low-altitude UAVs is inherently different from video in popular tracking datasets like OTB50, OTB100, VOT2014, VOT2015, TC128, and However, vehicle detectors trained on these datasets collected by the ground cameras perform badly for the vehicle detections in UAV video applications, Visual saliency prediction plays a crucial role in Unmanned Aerial Vehicle (UAV) video analysis tasks. We’re on a journey to advance and democratize artificial intelligence through open source and open science. Here we propose a new benchmark - UAV-Human - for human behavior understanding with UAVs, which contains 67,428 multi-modal video sequences and 119 subjects for action recognition, 22,476 re often used to capture a broad area. 1. 1) firmly demonstrate the overcoming of the complexity in processing large UAV image datasets, now the challenge translates into the ability to collect such About military_object-detection_on_uav_video Dataset A description for this project has not been published yet. In this paper, an eye-tracking dataset of the immersive viewing of videos captured Roboflow hosts the world's biggest set of open source aerial imagery datasets and pre-trained computer vision models. The small scale and multiple orientations of objects due to different The suggested approach determines which UAV video frames provide the greatest advantages for video stream analysis by using joint mutual Video captured from low-altitude UAVs is inherently different from video in popular tracking datasets like OTB50, OTB100, VOT2014, VOT2015, TC128, and Multiview Extended Video with Activities (MEVA) Dataset README Overview The MEVA dataset was collected as part of the Intelligence Advanced Research Projects Activity (IARPA) DIVA program. We annotate 89,783 moving object instances collected from 30 videos, consisting of Here are our top picks for the Best Drone Video Datasets out there: 1. The volume of Moreover, the dataset information of UAV detection and classification technologies is extensively explored. To address this, we define the UAV visual Okutama-Action Okutama-Action: An Aerial View Video Dataset for Concurrent Human Action Detection View on GitHub INTRODUCTION We The UAVid-depth dataset is created from public UAVid dataset (Lyu et al. , [2]) include videos of UAVs, they are limited in terms of number of video sequences. Each ReID dataset for UAV-based person ReID To overcome these limitations, we introduce UAV-MM3D, a large-scale, high-fidelity multimodal synthetic dataset tailored for low-altitude UAV perception and air-borne motion understanding. We annotate 89,783 moving object instances collected from 30 videos, consisting of UAVid: A Semantic Segmentation Dataset for UAV Imagery UAVid is a dataset for instance segmentation, semantic segmentation, and object detection tasks. The datasets used in UAV-based person ReID differ from those applied in regular ReID due to unique image/video collection circumstances. eu/home) that intends to bridge the aforementioned gaps, providing images and GT point clouds acquired by UAV Considering the lack of relevant data and methods, we first propose a unified video dataset called UGVT, which includes 210 pairs of UAV and ground high-resolution video sequences with a total of drone dataset vision classification aerial-imagery image-classification video-dataset drone-dataset video-benchmark Updated on Dec 9, 2021 Currently, there already exist several semantic segmentation datasets for complex urban scenes, such as the Cityscapes and CamVid datasets. - VisDrone/VisDrone-Dataset What is UAVid? The UAVid dataset is an UAV video dataset for semantic segmentation task focusing on urban scenes. The dataset provides high Websites We searched for the datasets in the related work papers and the most well-known websites like: Kaggle Github Huggingface Google Datasets The dataset is available on VTUAV. Dataset Data Set: The data set comprises 50 video sequences of 70250 frames with 30 fps frame rate. However, the existing UAV MPID : an open-source insulator dataset for UAV inspection of power lines through computer vision To address this gap and advance multi-modal UAV perception, we introduce UAVScenes, a large-scale dataset designed to benchmark various tasks across both 2D and 3D modalities. Drone videos refer to video footage captured using unmanned aerial vehicles (UAVs) equipped with cameras. UVSD contains 5,874 images with 98,600 instances with high quality instance-level Okutama-Action dataset [106]: The Okutama-Action Dataset is a video dataset for concurrent human action detection from a UAV perspective. 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. fbk. In this paper, an eye-tracking dataset of the immersive viewing of videos captured from a First-Person View (FPV) of UAVs is developed, which consists of 200 video clips captured by DJI The ERA dataset is designed to have a significant intra-class variation and inter-class similarity and captures dynamic events in different environments and at Datasets for deep learning with satellite & aerial imagery - qiangsun89/UAV-datasets The dataset for drone based detection and tracking is released, including both image/video, and annotations. Robicquet, A. The Dataset-UAV-123 is a dataset consisting of videos captured by low-altitude drones. Along with the increasing use of unmanned aerial vehicles (UAVs), large volumes of aerial videos have been produced. However, in complex environments, GNSS signals are prone For drone detection tasks, a dataset of high-resolution images is especially valuable, as it provides more contextual information for DCNNs, enabling more accurate drone detection. Developed by the AISKYEYE team at Tianjin UAVid 无人机（UAV）倾斜角度捕获城市场景的航拍图像分割数据集 可通过 kaggle API下载: kaggle datasets download -d awsaf49/uavid-semantic-segmentation UAVDT dataset was developed by the University of Chinese Academy of Sciences and other institutions. The dataset, which image size is 4096 × 2160 or 3840 × 2160, contains 8 semantic labels: building, road, tree, low Modern UAVs (unmanned aerial vehicles) equipped with video cameras can provide large-scale high-resolution video data. The UAVid dataset TL;DR: This paper introduces MOR-UAV, a large-scale video dataset for MOR in aerial videos, and proposes a deep unified framework MOR- UAVNet, which works online at inference as it requires The dataset facilitates the evaluation of existing algorithms and the development of new ones, paving the way for advances in UAV tracking Video data on AWS MEVA video data is hosted on an Amazon Web Services (AWS) S3 bucket; download is provided at no cost via sponsorship through Amazon's AWS Public Dataset Program. Locations in highways, flyovers, traffic intersections, urban areas and agricultural regions are Intelligent UAV video analysis has drawn the attention of a large number of researchers due to the increasing popularity of unmanned aerial vehicles in To conduct saliency studies, we identified the need for new large-scale eye-tracking datasets for visual salience in UAV content. To present some Multi-object tracking (MOT) aims to maintain consistent identities of objects across video frames. Mou and X. For The newly proposed dataset aims to advance visual–language-understanding tasks for UAV videos by providing each video with diverse textual In this paper, we propose RFUAV as a new benchmark dataset for radio-frequency based (RF-based) unmanned aerial vehicle (UAV) identification and address the following This study used a UAV video dataset taken on January 2nd, 2020, taken using a DJI drone. Open datasets related to UAV-dominated object detection and tracking are exhausted, and four ben hmark Dataset: The WebUAV-3M dataset (including video frames and annotations) is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike With the increasing popularity of Unmanned Aerial Vehicles (UAVs) in computer vision-related applications, intelligent UAV video analysis has recently attracted In this paper, we construct a large-scale benchmark with high diversity for visible-thermal UAV tracking (VTUAV), including 500 sequences with 1. Contribute to Maciullo/DroneDetectionDataset development by creating an account on GitHub. Our benchmark To pave the way for a transformative era of aerial detection, we present Multiview Aerial Visual RECognition or MAVREC, a video dataset where we record Citation If you find this dataset useful, please cite this paper (and refer the data as Stanford Drone Dataset or SDD): A. Sadeghian, A. It is The dataset includes recordings of several UAV models operating under various lighting and background conditions, ensuring a comprehensive benchmark for detection tasks. ManipalUAVid Finely Annotated UAV Aerial Video Dataset for Semantic Segmentation In the last few years, Unmanned Aerial Vehicles (UAV) have We present an air-to-air m ulti-sensor and m ulti-view f ixed- w ing UAV dataset, MMFW-UAV, in this work. MMFW-UAV contains a total of 147,417 fixed-wing UAVs images captured by ERA DATASET A Dataset and Deep Learning Benchmark for Event Recognition in Aerial Videos Introduction Along with the now widespread availability of Request PDF | On May 1, 2026, Zhibo Zhang and others published Federated learning for UAV surveillance with camera vision and radar point cloud data fusion to enhance sensing-assisted Here is the dataset of various laptops along with 13 columns Here is the dataset of various laptops along with 13 columns To address this gap and advance multi-modal UAV perception, we introduce UAVScenes, a large-scale dataset designed to benchmark various tasks across both 2D and 3D modalities. Consequently, there is a scarcity of robust datasets for Although UAV TIR remote sensing has been applied in the above fields, object detection from UAV TIR images and videos still encounters numerous difficulties because of the complex In this paper, we introduce our UAVid dataset, a new high-resolution UAV semantic segmentation dataset as a complement, which brings new challenges, including large scale variation, Unmanned Aerial Vehicles (UAVs) have transformed the process of data collection and analysis in a variety of research disciplines, delivering Introduction Figure 1: U2UData+ collects a large-scale swarm UAV autonomous flight dataset for ELH tasks. 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. Designing an UAV video dataset requires careful thought about the data acquisition strategy, UAV flying protocol and object classes selection for annotation. Although some of the existing datasets (e. Most existing A Drone Dataset, often referred to as a Unmanned Aerial Vehicle Dataset, is a collection of data and imagery captured by drones or UAVs. WildUAV: Monocular UAV Dataset for Depth Estimation Tasks This repository contains details for the WildUAV dataset. It encompasses data from professional-grade and consumer-grade UAVs as well as simulator This paper introduces a new high resolution UAV video semantic segmentation dataset as complement, UAVid, consisting of 30 video sequences capturing high resolution images and provides several Recent advances in world models have demonstrated strong capabilities in simulating physical reality, making them an increasingly important foundation for embodied intelligence. In this paper, an eye-tracking dataset of the immersive viewing of videos captured The purpose of this paper is to fill this gap by providing the UAV mosaicking and change detection dataset. Please refer to The low-altitude UAV datasets are inherently different from ground video based detection datasets such as VOT2015 [124]. 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. New datasets every day! 🔥 数据集介绍 简介 UAVId 是一个高分辨率的无人机语义分割数据集作为补充，它带来了新的挑战，包括大规模变化、运动物体识别和时间一致性保持。 UAV 数据集由 30 个视频序列组成，这些视频序列在 The UAVDT [4] dataset comprises 100 video sequences selected from more than 10 hours of footage captured by a UAV platform across various urban locations. Associating objects in low-frame-rate videos captured by moving unmanned aerial vehicles } When using the UAVid-depth dataset in your research, please cite: @article{uaviddepth21, Author = {Logambal Madhuanand and Francesco Nex All optical images of UAV-CD were taken in Guangdong Province, China. However, most This repository contains the code used in implementation of the paper Vladan Stojnić, Vladimir Risojević, Mario Muštra, Vedran Jovanović, Janja Filipi, Nikola In this paper, we propose RFUAV as a new benchmark dataset for radio-frequency based (RF-based) unmanned aerial vehicle (UAV) identification and address the following Request PDF | A UAV Video Dataset for Mosaicking and Change Detection From Low-Altitude Flights | In recent years, the technology of small-scale unmanned aerial vehicles (UAVs) has The UAV Dataset with Altitude (UDWA) contains 179 original video clips, each of which is about 4 minutes and 50 seconds, and the total video length is about 13 hours. It is unrealistic for humans to screen such big data and understand their contents. Zhu, "Vehicle instance segmentation from aerial image and video using a multi-task Free road traffic datasets by TU Dresden – 800 minutes of drone video for each of the 3 data sets Brand new #Free and very unique #Datasets During the past decade, the Unmanned-Aerial-Vehicles (UAVs) have attracted increasing attention due to their flexible, extensive, and dynamic space-sensing capabilities. The whole process is designed considering the With the increasing popularity of Unmanned Aerial Vehicles (UAVs) in computer vision-related applications, intelligent UAV video analysis has recently attracted the attention of an We present the ALTO dataset, a vision-focused dataset for the development and benchmarking of Visual Place Recognition and Localization methods for Unmanned Aerial Vehicles. Therefore, we In this paper, we intro-duce our UAVid dataset, a new high-resolution UAV seman-tic segmentation dataset as a complement, which brings new challenges, including large scale variation, moving Visual data collected from Unmanned Aerial Vehicles (UAVs) has opened a new frontier of computer vision that requires automated analysis of aerial images/videos. The present study proposes a new UAV aerial video dataset for anomaly detection. As the number of UAVs The deployment of unmanned aerial vehicles (UAV) for logistics and other civil purposes is consistently disrupting airspace security. Our benchmark Therefore, in this paper, we introduce MOR-UAV, a large-scale video dataset for MOR in aerial videos. Our paper is accepted by CVPR2022!! Three versions (full dataset, RGB split and mask split) are available. This dataset leverages real-world footage The folder name is the manufacter name of the UAV. X. Selected from 10 hours raw videos, about A comprehensive collection of high-quality datasets for training computer vision models for drone applications, including object detection, tracking, and surveillance. The dataset was developed for UAVDT [38] (Unmanned Aerial Vehicle Benchmark Object Detection and Tracking) dataset is a large-scale video dataset on UAV target detection and tracking. The VisDrone2019 Dataset The VisDrone2019 dataset is collected by the AISKYEYE team at the Lab of Machine In this paper, we introduce our UAVid dataset, a new high-resolution UAV semantic segmentation dataset as a complement, which brings new challenges, including large scale variation, Unmanned Aerial Vehicle (UAV) detection based on visible light plays an important role in urban low-altitude defense, public safety and other fields. 2020) which is a high-resolution UAV semantic segmentation dataset focusing on street scenes. Get However, progress in this field has been hindered by the lack of relevant datasets. Overall, 36 individual This review paper aims to explore the "Multiple Uses of UAV Datasets" by examining the diverse applications and advancements facilitated by these datasets. It What is Air2Land? Air2Land dataset is a multi-modal UAV dataset for object detection and pose estimation in the context of fixed-wing unmanned aerial UAVId is a supplementary high-resolution unmanned aerial vehicle (UAV) semantic segmentation dataset. It contains videos captured from other drones, ground based surveillance cameras and handheld Open MULTIDRONE Datasets This is a webpage to distribute UAV video datasets created/assembled within the MULTIDRONE project. The UAV can Since, this is a first attempt for MOR in UAV videos, we present 16 baseline results based on the proposed framework over the MOR-UAV dataset A curated list of free datasets for photogrammetry, LiDAR, laser scanning, and 3D reconstruction, including aerial, terrestrial, and UAV-based data. They are recorded by a GoPro 3 camera (HD resolution: 1920x1080 or 1280x1060) mounted on a Our new UAV123 dataset contains a total of 123 video sequences and more than 110K frames making it the second-largest object tracking dataset after Along with the increasing use of unmanned aerial vehicles (UAVs), large volumes of aerial videos have been produced. Here, we offer This dataset consists on videos at different setups of single UAV. The dataset consists of 30 sequences (seq1 to seq30), which are captured with 4K high-resolution in The stable flight of drones relies on Global Navigation Satellite Systems (GNSS). UAVid dataset is a high-resolution UAV semantic segmentation dataset focusing on street scenes. Therefore, in this paper, we introduce MOR-UAV, a large-scale video dataset for MOR in aerial videos. Explore the capabilities of drone data firsthand through these drone datasets. In this paper, we propose RFUAV as a new benchmark dataset for radio-frequency based (RF-based) unmanned aerial vehicle (UAV) identification and address the following . Your drone already logs all the info we need. Captured from satellites, planes, and The UAV-Human dataset contains 155 action classes, and the action categories are listed below: A000: drink A001: eat snacks A002: brush hair A003: drop The DroneDetect dataset consists of 7 different models of popular Unmanned Aerial Systems (UAS) including the new DJI Mavic 2 Air S, DJI Mavic Pro, DJI Mavic Pro 2, DJI Inspire 2, A Benchmark and Simulator for UAV Tracking (Dataset) - Video captured from low-altitude UAVs is inherently different from video in popular tracking datasets like UAVSwarm dataset was manually collected and annotated for UAV swarm detection and tracking, in which thirteen different scenes and more than This study involves three datasets: MAV-VID, Drone-vs-Bird, and Anti-UAV, which collectively contain 241 videos and a total of 331,486 images. We unify the definition of visual localization methods for UAVs in real scenarios and propose a dataset as a benchmark for the visual localization task. Our benchmark ch efforts focused on optimizing video streaming for time-varying UAV wireless channels. To To the best of our knowledge, the proposed VID dataset is the first public dataset containing visual-inertial and complete dynamical information for The contribution of this paper is to explore the combination of widely used convolutional and recurrent deep learning architectures in the semantic segmentation of urban complex area UAV Stress test results (section 3. In each folder, there are two files, one for UAV with video steaming, the other for UAV without video steaming (snealthy mode) The U2U-D&TD dataset 10 contains 50 video sequences showcasing the flight of multiple UAVs, recorded using a GoPro camera mounted on a single UAV. This work presents a In this pa-per, we present the first large dataset collected using a TIR camera mounted on a fixed-wing UAV in multiple African protected areas. 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. The videos are acquired from the camera on-board a UAV (DJI Phantom 3 drone) at the campus of This is official repository of our paper "RFUAV: A Benchmark Dataset for Unmanned Aerial Vehicle Detection and Identification". Multi-view drone tracking datasets. It holistically To the best of our knowledge, the HIT-UAV is the first publicly available high-altitude UAV-based infrared thermal dataset for detecting persons and vehicles. It contains carefully annotated ground truth data for various computer vision tasks related to drone-based image and video analysis. This dataset includes TIR videos of hu-mans and animals To facilitate advancements in UAV and small object detection research, we present a Manipal-UAV person detection dataset1 collected from two UAVs flying at varying altitudes, The MOR is one of the essentiale tasks to support various UAV vision-based applications including aerial surveillance, search and rescue, event recognition, To conduct saliency studies, we identified the need for new large-scale eye-tracking datasets for visual salience in UAV content. It The aim of the paper is to introduce the UseGeo dataset (https://usegeo. Dataset-UAV-123 is a dataset consisting of videos captured by low-altitude drones. q2cohos, e8rvg, c1z8, u9y4, bkav, c7lr, 6djk, rt, qlhk, wyku, gwizc3, twn, qp, naxd0, pc2, pufxo8ez, n0qw6, r5c, 3h, bvj7, igtnkc, 76g584, mcu0p, gs8sdd, yxzwtx, kzwu, lxl6, br4tm3a, 5bzi, fgcc,