uav
Datasets
All datasets matching “uav”UAVReason_depth
🗺️ UAVReason Depth
Depth maps and depth statistics for UAV-native multimodal reasoning and generation
📌 News
Paper: Can Vision-Language Models Think from the Sky? Unifying UAV Reasoning and Generation
arXiv: arXiv:2604.05377
VQA / caption / generation annotations: jarvissun/UAVReason_vqa
This dataset is released as part of UAVReason, introduced in the paper above.Please cite the paper if you use this dataset.
🧭 Overview
UAVReason Depth… See the full description on the dataset page: https://huggingface.co/datasets/jarvissun/UAVReason_depth.Synthetic-UAV-Flight-Trajectories
UAV Trajectory Dataset
Summary
This dataset comprises over 5000 random UAV (Unmanned Aerial Vehicle) trajectories collected over 20 hours of flight time. It is intended for training AI models such as trajectory prediction applications. The dataset is generated through an automated pipeline for the creation and preprocessing of UAV synthetic trajectories, making it ready for direct AI model training.
Data Description
The dataset features parameterized… See the full description on the dataset page: https://huggingface.co/datasets/riotu-lab/Synthetic-UAV-Flight-Trajectories.UAV-SEAD_State_Estimation_Anomaly_DatasetUAVDT-Benchmark-MUAV3DCrop
UAV3DCrop
UAV3DCrop is a multi-year UAV crop dataset containing field imagery and
associated reconstruction metadata for agricultural research.
Project page: UAV3DCrop
Paper: UAV3DCrop: Benchmarking 3D Reconstruction in Repeated Multi-Angle UAV Crop Surveys
Code: GitHub
Companion depth dataset: UAV3DCrop Depth
Repository Contents
The dataset is organized by year and acquisition day. A scene may include:
RGB images in an images/ directory;
camera parameters and… See the full description on the dataset page: https://huggingface.co/datasets/Link-Dev/UAV3DCrop.uav-flight-anomaly-dataset
DATASET CARD for UAV-SEAD
Citation
BibTeX:
@article{kabaoglu2024uavsead,
title={UAV-SEAD: State Estimation Anomaly Dataset for UAVs},
author={Kabaoglu, Aykut and Sariel, Sanem},
journal={arXiv preprint},
year={2026}
}
DATASET INFORMATION
Dataset Description
UAV-SEAD (State Estimation Anomaly Dataset) is a comprehensive, large-scale, real-world flight dataset designed to advance research in Fault Detection and Identification… See the full description on the dataset page: https://huggingface.co/datasets/aykutkabaoglu/uav-flight-anomaly-dataset.