datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.UAV-FlowUAVid-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-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.UAV-Flow-SimGTA-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-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-Flowpfm1-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.hit-uav-thermal-human-detectionUAV-ON-datasetUav_dataset_storesvge-uav-road-hazard-v0
SVGE UAV Road Hazard v0
SVGE UAV Road Hazard v0 is a small public research preview for photorealistic UAV road-inspection rare events.
The key signal is not just that the samples exist. The images are designed to look like field-like UAV inspection frames while still shipping with auditable masks, QA overlays, review crops, COCO annotations, and YOLO labels.
This package is not positioned as a benchmark, production detector, or full training corpus. It is a demand probe for one… See the full description on the dataset page: https://huggingface.co/datasets/kensou3/svge-uav-road-hazard-v0.Person_Detection_and_Re-Identification_from_Low_Altitude_UAV-based_platform
Person Detection and Re-Identification from Low Altitude UAV-based Platform
Dataset Description
This dataset was collected as part of a master's thesis on person detection and re-identification using low-altitude UAV (drone) footage. It contains labeled aerial images captured from a DJI Mini drone, annotated in YOLOv8 format.
The dataset supports two tasks:
Person Detection — detecting people in aerial drone footage
Person Re-Identification (Re-ID) — recognizing and… See the full description on the dataset page: https://huggingface.co/datasets/Mikiee/Person_Detection_and_Re-Identification_from_Low_Altitude_UAV-based_platform.uav-pdd2023cs370-uav-detectionThe drone dataset that was used was from https://www.kaggle.com/datasets/muki2003/yolo-drone-detection-dataset
UAV-Flow-lerobotUAVBench
🎉 To the best of our knowledge, UAVBench is the first vision-language benchmark to assess low-altitude UAV image-level and region-level understanding and reasoning capabilities of MLLMs.
📢 News
This is an ongoing project. We will be working on improving it.
📦 Complete evaluation code coming soon! 🚀
📦 Detailed low-altitude UAV MLLMs model inference tutorial coming soon! 🚀
[05/13/2025] 🚀 We release our UAVBench benchmark and UAVIT-1M instruct tunning data to… See the full description on the dataset page: https://huggingface.co/datasets/ZhanYang-nwpu/UAVBench.uav-resilience-bench
UAV Navigation Resilience Benchmark
Dataset Description
High-fidelity UAV navigation simulation data with realistic Electronic Warfare (EW) jamming scenarios based on OSINT profiles of Russian military systems deployed in Ukraine.
Why This Dataset?
Most UAV navigation datasets are "fair weather" - they don't include adversarial conditions. This dataset fills that gap:
GPS Jamming: Realistic signal denial based on Zhitel, Pole-21, and… See the full description on the dataset page: https://huggingface.co/datasets/davidfoss/uav-resilience-bench.ZeroTwin-UAV-Synthetic_Physics-Informed-Multi-UAV-Fault-Telemetry-Benchmark
🛸 ZeroTwin-UAV-Synthetic
Multi-Agent Physics-Informed Degradation Benchmark for Autonomous UAV Swarms
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P H I L A B • P E N E L O P E I N C . R E S E A R C H D I V I S I O N
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🏛️ Provenance & Institutional Trademarks
This open-source benchmark is… See the full description on the dataset page: https://huggingface.co/datasets/SM-Bello/ZeroTwin-UAV-Synthetic_Physics-Informed-Multi-UAV-Fault-Telemetry-Benchmark.Person_Detection_and_Re-Identification_from_Low_Altitude_UAV-based_platform
Person Detection and Re-Identification from Low Altitude UAV-based Platform
Dataset Description
This dataset was collected as part of a master's thesis on person detection and re-identification using low-altitude UAV (drone) footage. It contains labeled aerial images captured from a DJI Mini drone, annotated in YOLOv8 format.
The dataset supports two tasks:
Person Detection — detecting people in aerial drone footage
Person Re-Identification (Re-ID) — recognizing… See the full description on the dataset page: https://huggingface.co/datasets/yuotub/Person_Detection_and_Re-Identification_from_Low_Altitude_UAV-based_platform.os-rfodg-outdoor-uav-synthetic-dataset-taif-saudi-arabia
UAV Trajectory Simulation Dataset for Terrain-Based Localization
Dataset Overview
This dataset contains simulated UAV flight data generated using ROS2, Gazebo, and PX4 autopilot system. The dataset features a quadcopter performing autonomous flight trajectories over realistic terrain imported from satellite imagery and Digital Elevation Model (DEM) maps of the Taif region in Saudi Arabia.
Dataset Files
The dataset contains:
7 trajectory CSV files:… See the full description on the dataset page: https://huggingface.co/datasets/riotu-lab/os-rfodg-outdoor-uav-synthetic-dataset-taif-saudi-arabia.UAVIT-1M
🎉 UAVIT-1M stands as the first largest and most comprehensive instruction tuning dataset to enhance low-altitude UAV visual understanding abilities, supporting 11 image-level and region-level tasks.
📢 News
This is an ongoing project. We will be working on improving it.
📦 Complete evaluation code coming soon! 🚀
📦 Detailed low-altitude UAV MLLMs model inference tutorial coming soon! 🚀
[05/13/2025] 🚀 We release our UAVBench benchmark and UAVIT-1M instruct… See the full description on the dataset page: https://huggingface.co/datasets/ZhanYang-nwpu/UAVIT-1M.uav-fault-symptom-reports
UAV Fault Symptom Reports
A synthetic dataset of UAV flight telemetry paired with operator-style symptom reports written by a
language model. Each row is one five-second window of a flight: 20 telemetry channels, the fault
class, a severity derived from simulated consequences, and a one-sentence report.
split
rows
flights
model-written reports
unique reports
benchmark
10,500
2,100
82.0%
79.7%
challenge
3,500
700
88.1%
91.0%
benchmark is balanced across seven… See the full description on the dataset page: https://huggingface.co/datasets/Bashifu/uav-fault-symptom-reports.ProjectAirSim-UAV-Kinematic-Trajectories
ProjectAirSim UAV Kinematic Trajectories
This dataset contains UAV trajectory episodes collected from ProjectAirSim. Each row is one episode. The states field is a variable-length sequence sampled at approximately 10.00 Hz.
State vector:
[t, x, y, z, qw, qx, qy, qz, vx, vy, vz, wx, wy, wz, ax, ay, az]
Fields:
episode_id: integer episode index.
trajectory_type: trajectory family used to generate waypoints.
start_position: NED start position [x, y, z] in meters.
goal_position:… See the full description on the dataset page: https://huggingface.co/datasets/qincheng037/ProjectAirSim-UAV-Kinematic-Trajectories.