datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.UAV3DCrop_depth
UAV3DCrop Depth
UAV3DCrop Depth contains per-image depth maps associated with the UAV3DCrop
multi-year agricultural UAV dataset.
Project page: UAV3DCrop
Paper: UAV3DCrop: Benchmarking 3D Reconstruction in Repeated Multi-Angle UAV Crop Surveys
Code: UAV3DCrop GitHub
RGB dataset: UAV3DCrop
Repository Contents
The depth data are organized by year and acquisition scene. Scene directories
contain TIFF depth maps named to correspond to images in the main UAV3DCrop… See the full description on the dataset page: https://huggingface.co/datasets/Link-Dev/UAV3DCrop_depth.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.Anti-UAV-RGBTUAV-FlowUAV-SEAD_State_Estimation_Anomaly_DatasetGeoDeep-ModelsMM-UAVBench
MM-UAVBench
A comprehensive multimodal benchmark designed to evaluate the perception, cognition, and planning abilities of Multimodal Large Language Models (MLLMs) in low-altitude UAV scenarios.
📚 Dataset Overview
MM-UAVBench focuses on assessing MLLMs' performance in UAV-specific low-altitude scenarios, with three core characteristics:
Key Features
Comprehensive Task Design
19 tasks across 3 capability dimensions (perception/cognition/planning)… See the full description on the dataset page: https://huggingface.co/datasets/daisq/MM-UAVBench.UAVid-2020
UAVid: Aerial Semantic Segmentation Dataset
Unofficial redistribution of the UAVid dataset under the original CC BY-NC-SA 4.0 license.
Disclaimer
This repository is not an official release of the UAVid dataset.
The UAVid dataset was created by the original authors, who retain all copyright and intellectual property rights. This repository does not claim ownership of any images, annotations, or metadata.
This repository exists for two purposes:
To… See the full description on the dataset page: https://huggingface.co/datasets/dronefreak/UAVid-2020.disasterviewUAV-Flow-Simgimbaled-uav-tracking-dataset
Gimbaled UAV Tracking Dataset / 云台无人机追踪数据集
A real-world, multi-sensor dataset for active localization of a non-cooperative
UAV using a two-axis gimbaled LiDAR–camera fusion system. It contains 16 flight
sequences acquired with a ground vehicle platform, together with the associated
tracking outputs and an RTK-based position reference.
面向非合作无人机主动定位的实测多传感数据集，采集自一套基于两轴云台
LiDAR–相机融合的地面车辆平台。包含 16 个飞行序列，并附带相应的跟踪
输出与基于 RTK 的位置参考。
The sequences span two acquisition days, sunny and… See the full description on the dataset page: https://huggingface.co/datasets/humanoidro/gimbaled-uav-tracking-dataset.UAV-Aerial-View-Battle-Tank-Detection-Dataset
Aerial UAV Perspective: Battle Tank Detection Dataset
Overview
This is an open-source synthetic dataset specifically engineered to train computer vision models in identifying main battle tanks (MBTs) and armored combat vehicles from tactical overhead and drone perspectives.
Obtaining real-world tactical aerial imagery for defense analytics is heavily restricted, operationally dangerous, or classified. This dataset addresses that critical data bottleneck by… See the full description on the dataset page: https://huggingface.co/datasets/Simuletic/UAV-Aerial-View-Battle-Tank-Detection-Dataset.UAVScenes
UAVScenes
(ICCV 2025) UAVScenes: A Multi-Modal Dataset for UAVs
[arXiv] [ICCV 2025]
We introduce UAVScenes, a large-scale dataset designed to benchmark various tasks across both 2D and 3D modalities. Our benchmark dataset is built upon the well-calibrated multi-modal UAV dataset MARS-LVIG, originally developed only for simultaneous localization and mapping (SLAM). We enhance this dataset by providing manually labeled semantic annotations for both images and LiDAR point clouds… See the full description on the dataset page: https://huggingface.co/datasets/sijieaaa/UAVScenes.GTA-UAV-HR
GTA-UAV dataset
# Merge splited files
cat drone_part_* > drone.tar.gz
# Extract the archive
tar -xzvf drone.tar.gz
tar -xzvf satellite.tar.gz
For more information, please check our project page.
Sources
Repository: https://github.com/Yux1angJi/GTA-UAV
Paper: https://arxiv.org/abs/2409.16925
UAV-GeoLoc
UAV-GeoLoc
This repo contains the large-vocabulary datasets for our paper UAV-GeoLoc: A Large-vocabulary Dataset and Geometry-Transformed
Method for UAV Geo-Localization. Given a top-down UAV image, retrieve a corresponding satellite image patch to infer the UAV's location.
📦 Usage && Dataset Structure
⬇️ Download Instructions
You need to download all parts of a category (e.g., all Country.zip.00X files) before extraction.
1. Clone the repository with… See the full description on the dataset page: https://huggingface.co/datasets/RingoWRW97/UAV-GeoLoc.UAVD4L-Model
UAVD4L-Model
This dataset contains feicuiwan-OSGB.zip (~48.5 GB), which has been split into 12 parts for reliable uploading/downloading:
feicuiwan-OSGB.zip.part01 ~ part11: 4.29 GB each
feicuiwan-OSGB.zip.part12: 1.26 GB
Download
Download all 12 parts before merging.
Option 1: Python (huggingface_hub)
from huggingface_hub import snapshot_download
snapshot_download(
repo_id="RingoWRW97/UAVD4L-Model",
repo_type="dataset"… See the full description on the dataset page: https://huggingface.co/datasets/RingoWRW97/UAVD4L-Model.UAV-VisLocUAV-IndoorCL
UAV-IndoorCL
This repository contains the dataset presented in the paper Learning on the Fly: Replay-Based Continual Object Perception for Indoor Drones.
Project Page | GitHub
Dataset Summary
UAV-IndoorCL is an indoor video dataset consisting of 14,400 frames capturing inter-drone and ground vehicle footage. It was specifically designed to support and benchmark Class-Incremental Learning (CIL) research for resource-constrained aerial platforms. The frames were… See the full description on the dataset page: https://huggingface.co/datasets/kaochuang/UAV-IndoorCL.UAV-FlowUAV123GTA-UAV-LR
GTA-UAV dataset
For more information, please check our project page.
Sources
Repository: https://github.com/Yux1angJi/GTA-UAV
Paper: https://arxiv.org/abs/2409.16925
UAV-FlowUAV-SEAD_State_Estimation_Anomaly_Datasetpfm1-landmine-uav-vnir-hsi-IGARSS-2026
PFM-1 Landmine VNIR Hyperspectral Imaging Dataset (IGARSS 2026)
Dataset Description
This dataset 1 contains Visible and Near-Infrared (VNIR) Hyperspectral Imaging (HSI) data prepared for the
IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2026.
This specific version is a refined subset of the original benchmark dataset 2. While the original
release provided full radiance cubes, broad GCP/AeroPoint data, and reference ground… See the full description on the dataset page: https://huggingface.co/datasets/SagarLekhak/pfm1-landmine-uav-vnir-hsi-IGARSS-2026.SUDA-UAV
SUDA-UAV
SUDA-UAV is a large-scale UAV vision-language-action dataset collected in the SUDA-SIM
simulation platform with PX4 SITL lockstep execution.
Statistics
Trajectories: 13,678 (train 13,478 / eval 200)
Frames: 1,601,000 at 20 Hz
Action space: 15-D (relative pose delta + body velocity / angular velocity / linear acceleration)
Eval split follows the standard-200 evaluation protocol.
Layout
shards/train/, shards/eval/: tar.gz shards, each… See the full description on the dataset page: https://huggingface.co/datasets/AmurBear/SUDA-UAV.