datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
aerial-isac-srs-iq
Aerial ISAC SRS I/Q
Raw uplink Sounding Reference Signal (SRS) I/Q captured on the
NVIDIA Aerial
5G testbed, paired with a synchronized video and camera-derived ground truth for
two pedestrians and a car moving through the sensing area.
The labeled span in real time: camera view, Range-Doppler map, and range/velocity
tracks. Also available as isac_rd_demo.mp4.
Dataset Description:
This dataset provides synchronized multi-modal recordings designed for… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/aerial-isac-srs-iq.AerialVGUAV-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.AerialMetric-ECCV2026
AerialMetric-ECCV2026
This repository is the main dataset hub for the paper AerialMetric: Benchmarking and Adapting UAV Monocular Metric Depth Estimation in the Real World.
It includes more than 65k aerial image-depth pairs, and all depth maps are metric.
Project homepage: https://kuieless.github.io/AerialMetric-ECCV2026-page/
Repository: https://github.com/kuieless/AerialMetric-ECCV2026
It contains the training data, test data, and the moge2-aerial weights used by the… See the full description on the dataset page: https://huggingface.co/datasets/Kuiee/AerialMetric-ECCV2026.japanese-aerial-fireworks-v2
🎆 NEW: Curated 1,000 Wide Pack (Commercial License)
For commercial AI/ML training, check out the Hanabi AI Dataset v1: Wide Pack — Curated 1,000 — a carefully selected subset with detailed structured annotations:
✅ 1,000 hand-curated 4K images (vs 2,557 raw images here)
✅ Structured AI annotations (composition, mood, color, EXIF, English notes)
✅ Sample PyTorch loader, attribute filter, caption generator
✅ Perpetual Commercial License (Japanese law)
✅ Optimized for Stable… See the full description on the dataset page: https://huggingface.co/datasets/dfhjs2577/japanese-aerial-fireworks-v2.aerial-sheep-object-detection
Roboflow Dataset Page
https://universe.roboflow.com/riis/aerial-sheep/dataset/1
Dataset Labels
['sheep']
Citation
@misc{ aerial-sheep_dataset,
title = { Aerial Sheep Dataset },
type = { Open Source Dataset },
author = { Riis },
howpublished = { \\url{ https://universe.roboflow.com/riis/aerial-sheep } },
url = { https://universe.roboflow.com/riis/aerial-sheep },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = {… See the full description on the dataset page: https://huggingface.co/datasets/keremberke/aerial-sheep-object-detection.massgis_2023_aerial_imagery
MassGIS 2023 Aerial Imagery Dataset
Dataset Description
This dataset contains high-resolution "leaf off" aerial photographs covering the entire state of Massachusetts, captured in spring 2023. The imagery has been converted from specialized formats into standard formats suitable for AI and machine learning applications.
Overview
The MassGIS 2023 Aerial Imagery Dataset provides comprehensive aerial photography coverage of Massachusetts, captured during leaf-off… See the full description on the dataset page: https://huggingface.co/datasets/evijit/massgis_2023_aerial_imagery.AerialVLN-Simulators
AerialVLN Simulator
This repository provides a mirrored copy of the simulator used to support the AerialVLN dataset for research convenience and reproducibility.
The original simulator is released with the AerialVLN dataset and can be accessed from the official Kaggle repository.
The AerialVLN dataset and simulator are associated with the paper AerialVLN: Vision-and-Language Navigation for UAVs (ICCV 2023).
All credits for the original dataset and simulator belong to the authors of… See the full description on the dataset page: https://huggingface.co/datasets/LeonMiao/AerialVLN-Simulators.AerialBirdDetection_2ndPlace_NexusLADevDays
Aerial Bird Detection - 2nd Place Nexus LA DevDays
Overview
This dataset was curated and modified to train computer vision models for detecting birds and nests in aerial and drone imagery. It was developed as part of the NestScope application by team SONA, which secured 2nd place at the Nexus LA DevDays competition.
This repository contains a hybrid dataset: it combines original aerial imagery and annotations collected by Olisemeka Nmarkwe with a specifically modified… See the full description on the dataset page: https://huggingface.co/datasets/OliseNS/AerialBirdDetection_2ndPlace_NexusLADevDays.vanrakshak-forest-aerial-thermal
🌲 VanRakshak: Forest & Wildlife Aerial-Thermal Dataset
A comprehensive, curated dataset of aerial and thermal imagery optimized for forest surveillance, anti-poaching, human-wildlife conflict mitigation, and wildfire detection via UAVs and drones.
📊 Quick Start
from datasets import load_dataset
# Load full dataset with instant streaming and native image/bbox decoding
dataset = load_dataset("sanjeevafk/vanrakshak-forest-aerial-thermal")
# Access sample… See the full description on the dataset page: https://huggingface.co/datasets/sanjeevafk/vanrakshak-forest-aerial-thermal.AerialVision-DatasetLandCover-Aerial-Imagery-for-semantic-segmentation
LandCover.ai: Dataset for Automatic Mapping of Buildings, Woodlands, Water and Roads from Aerial Imagery
My project based on the dataset, can be found on Github: https://github.com/MortenTabaka/Semantic-segmentation-of-LandCover.ai-dataset
The dataset used in this project is the Landcover.ai Dataset,
which was originally published with LandCover.ai: Dataset for Automatic Mapping of Buildings, Woodlands, Water and Roads from Aerial Imagery paper
also accessible on PapersWithCode.… See the full description on the dataset page: https://huggingface.co/datasets/MortenTabaka/LandCover-Aerial-Imagery-for-semantic-segmentation.counting_vp_box_aerial_cows_count_norSesame_Aerial_weed_segmentation
Sesame Aerial Weed Segmentation
This dataset provides real aerial RGB imagery of tobacco and sesame crop fields in Pakistan, captured using a drone-mounted camera for weed segmentation tasks. The images were collected in field environments across multiple locations, offering diverse examples of weed distribution patterns in agricultural settings. The dataset contains 160 images with pixel-level mask annotations.
This dataset is indexed on https://project-agml.github.io/ as part… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/Sesame_Aerial_weed_segmentation.AerialMindAerialVLN
AerialVLN
This repository provides a mirrored copy of the AerialVLN dataset for research convenience and reproducibility.
The original repository can be accessed from the official Kaggle repository.
The AerialVLN dataset are associated with the paper AerialVLN: Vision-and-Language Navigation for UAVs (ICCV 2023).
All credits for the original dataset belong to the authors of AerialVLN. This repository is intended to facilitate easier access and usage in related research.… See the full description on the dataset page: https://huggingface.co/datasets/LeonMiao/AerialVLN.japanese-aerial-fireworks
Japanese Aerial Fireworks Dataset
High-quality aerial fireworks photography dataset for AI training (LoRA / fine-tuning).
Image Details
Format: JPEG
Resolution: up to 1024px (long edge)
Camera: Canon EOS 80D / R10
Time of capture: evening/night (17:00–21:00 JST)
Caption Format
Each .txt file contains a caption starting with the trigger word:
hanabi fireworks, [description of the image]
Usage
Ideal for training LoRA models with Flux, SDXL, or… See the full description on the dataset page: https://huggingface.co/datasets/dfhjs2577/japanese-aerial-fireworks.AerialVLN-S
AerialVLN-S
This repository provides a mirrored copy of the AerialVLN-S dataset for research convenience and reproducibility.
The original repository can be accessed from the official Kaggle repository.
The AerialVLN dataset are associated with the paper AerialVLN: Vision-and-Language Navigation for UAVs (ICCV 2023).
All credits for the original dataset belong to the authors of AerialVLN. This repository is intended to facilitate easier access and usage in related research.… See the full description on the dataset page: https://huggingface.co/datasets/LeonMiao/AerialVLN-S.AerialMetric-ECCV2026
AerialMetric-ECCV2026
This repository is the main dataset hub for the paper AerialMetric: Benchmarking and Adapting UAV Monocular Metric Depth Estimation in the Real World.
It includes more than 65k aerial image-depth pairs, and all depth maps are metric.
Project homepage: https://kuieless.github.io/AerialMetric-ECCV2026-page/
Repository: https://github.com/kuieless/AerialMetric-ECCV2026
It contains the training data, test data, and the moge2-aerial weights used by the… See the full description on the dataset page: https://huggingface.co/datasets/Addy0811/AerialMetric-ECCV2026.deadtree.earth-aerial-train_cc_by_nc-sa
🌳 deadtrees.earth
A Multi-Resolution Aerial Image Dataset for Tree and Mortality Detection
Overview
deadtrees.earth is a multi-resolution aerial imagery dataset designed for tree detection and tree mortality analysis. The dataset contains high-resolution aerial tiles and corresponding segmentation masks.
Data Sources & Licensing
This repository only includes imagery that is licensed under CC BY-NC-SA (Creative Commons Attribution–NonCommercial–ShareAlike).
⚠️… See the full description on the dataset page: https://huggingface.co/datasets/ayushi3536/deadtree.earth-aerial-train_cc_by_nc-sa.aerial-datasetAerial-PPE-Construction-Safety
🛸 Aerial PPE Construction Safety Dataset (Beta)
This is a specialized, drone-shot computer vision dataset curated for real-time Personal Protective Equipment (PPE) detection from aerial vantage points.
📊 Dataset Split & Structure
The dataset contains a total of 5,290 images optimized for deep learning models:
Train Split: 4,624 images
Validation Split: 444 images
Test Split: 222 images
🏷️ Classes
The annotations are formatted strictly in… See the full description on the dataset page: https://huggingface.co/datasets/IswaryaS/Aerial-PPE-Construction-Safety.localize-aerial
Hugging Face preview scope
The HF dataset viewer exposes 10 verified examples per stored view, in explicitly named *_preview configs and a preview split. These are not the full training split. Select a config to inspect original images, separate box overlays, full grouped queries, xyxy boxes on the 0–1000 grid, and record IDs. No annotations are truncated in the files. DOTA v1 and full v2 previews are alternatives, not additions to the default training mixture.
The complete… See the full description on the dataset page: https://huggingface.co/datasets/elliot-mllm/localize-aerial.v2rmp-agent-dataset
aerialblancaservices/v2rmp-agent-dataset
Generated by ML Intern
This dataset repository was generated by ML Intern, an agent for machine learning research and development on the Hugging Face Hub.
Try ML Intern: https://smolagents-ml-intern.hf.space
Source code: https://github.com/huggingface/ml-intern
Usage
from datasets import load_dataset
dataset = load_dataset('aerialblancaservices/v2rmp-agent-dataset')
AerialVLN-S-Verified
AerialVLN-S-Verified
This repository provides AerialVLN-S-Verified, a verified version of the original AerialVLN-S dataset for aerial vision-and-language navigation research.
AerialVLN-Verified is curated with the assistance of ViRC-7B and approximately 150 hours of human verification. It aims to provide cleaner instruction-action pairs by correcting both instruction-text anomalies and action-sequence anomalies in the original dataset.
The AerialVLN dataset are associated with the… See the full description on the dataset page: https://huggingface.co/datasets/LeonMiao/AerialVLN-S-Verified.Post-Disaster-Ruins-Drone-Aerial-Damage-Assessment-Dataset
Post-Disaster Ruins Drone Aerial Damage Assessment Dataset
The current real estate industry faces an increasing risk of natural disasters and an urgent need for rapid post-disaster assessment and recovery. Existing assessment methods rely heavily on on-site manual inspections, which are inefficient and costly, especially posing personal safety risks in post-disaster harsh environments. The Post-Disaster Ruins Drone Aerial Damage Assessment Dataset aims to enable fast, low-cost, and… See the full description on the dataset page: https://huggingface.co/datasets/shangzx/Post-Disaster-Ruins-Drone-Aerial-Damage-Assessment-Dataset.Post-Disaster-Ruins-Drone-Aerial-Damage-Assessment-Dataset
Post-Disaster Ruins Drone Aerial Damage Assessment Dataset
The current real estate industry faces an increasing risk of natural disasters and an urgent need for rapid post-disaster assessment and recovery. Existing assessment methods rely heavily on on-site manual inspections, which are inefficient and costly, especially posing personal safety risks in post-disaster harsh environments. The Post-Disaster Ruins Drone Aerial Damage Assessment Dataset aims to enable fast, low-cost, and… See the full description on the dataset page: https://huggingface.co/datasets/Mobiusi/Post-Disaster-Ruins-Drone-Aerial-Damage-Assessment-Dataset.aerial_airport_point_v2aerial-animal-population-4tu
Dataset Card for "aerial-animal-population-4tu"
More Information needed
aerial_airport_subset