datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
AFO-Aerial_Floating_Objects
Dataset Card for AFO - Aerial Floating Objects
AFO dataset is the first free dataset for training machine learning and deep learning models for maritime Search and Rescue applications. It contains aerial-drone videos with 40,000 hand-annotated persons and objects floating in the water, many of small size, which makes them difficult to detect.
This is a FiftyOne dataset with 1014 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/AFO-Aerial_Floating_Objects.INRIA-Aerial-Image-Labeling
Inria Aerial Image Labeling Dataset
Description
The Inria Aerial Image Labeling Dataset is a building semantic segmentation dataset proposed in "Can semantic labeling methods generalize to any city? the inria aerial image labeling benchmark," Maggiori et al.. It consists of 360 high-resolution (0.3m) RGB images, each with a size of 5000x5000 pixels. These images are extracted from various international GIS services, such as the USGS National Map.
Project page:… See the full description on the dataset page: https://huggingface.co/datasets/blanchon/INRIA-Aerial-Image-Labeling.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.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.AerialVGAerialSenseAerialExtreMatch-Train
AerialExtreMatch — Train Dataset
Code | Project Page | Paper
This repo contains the training set for our paper AerialExtreMatch: A Benchmark for Extreme-View Image Matching and Localization. We also provide benchmark and localization datasets.
Usage
Simply clone this repository and unzip the dataset files.
git clone git@hf.co:datasets/Xecades/AerialExtreMatch-Train
cd AerialExtreMatch-Train
unzip "*.zip"
rm -rf *.zip
rm -rf .git
Dataset Structure
After… See the full description on the dataset page: https://huggingface.co/datasets/Xecades/AerialExtreMatch-Train.INRIA-Aerial-Image-Labeling
Inria Aerial Image Labeling Dataset
Description
The Inria Aerial Image Labeling Dataset is a building semantic segmentation dataset proposed in "Can semantic labeling methods generalize to any city? the inria aerial image labeling benchmark," Maggiori et al.. It consists of 360 high-resolution (0.3m) RGB images, each with a size of 5000x5000 pixels. These images are extracted from various international GIS services, such as the USGS National Map.
Project page:… See the full description on the dataset page: https://huggingface.co/datasets/usmanhf/INRIA-Aerial-Image-Labeling.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.AerialExtreMatch-Benchmark
AerialExtreMatch — Benchmark Dataset
Code | Project Page | Paper
This repo contains the benchmark set for our paper AerialExtreMatch: A Benchmark for Extreme-View Image Matching and Localization. 32 difficulty levels are included. We also provide train and localization datasets.
Usage
Simply clone this repository and unzip the dataset files.
git clone git@hf.co:datasets/Xecades/AerialExtreMatch-Benchmark
cd AerialExtreMatch-Benchmark
unzip "*.zip"
rm -rf *.zip
rm -rf… See the full description on the dataset page: https://huggingface.co/datasets/Xecades/AerialExtreMatch-Benchmark.AerialExtreMatch-Localization
AerialExtreMatch — Localization Dataset
Code | Project Page | Paper
This repo contains the localization set for our paper AerialExtreMatch: A Benchmark for Extreme-View Image Matching and Localization. Two different quality map and 264 query images are included. We also provide benchmark and train datasets.
Usage
Simply clone this repository.
git clone git@hf.co:datasets/Xecades/AerialExtreMatch-Train
Dataset Structure
.
├── HQref: *.tif
├── LQref: *.tif,*.prj… See the full description on the dataset page: https://huggingface.co/datasets/Xecades/AerialExtreMatch-Localization.AFO-Aerial_Floating_Objects
Dataset Card for AFO - Aerial Floating Objects
AFO dataset is the first free dataset for training machine learning and deep learning models for maritime Search and Rescue applications. It contains aerial-drone videos with 40,000 hand-annotated persons and objects floating in the water, many of small size, which makes them difficult to detect.
This is a FiftyOne dataset with 1014 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U… See the full description on the dataset page: https://huggingface.co/datasets/12edf/AFO-Aerial_Floating_Objects.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.weed-crop-aerial
Dataset Card for weed-crop-aerial
** The original COCO dataset is stored at dataset.tar.gz**
Dataset Summary
weed-crop-aerial
Supported Tasks and Leaderboards
object-detection: The dataset can be used to train a model for Object Detection.
Languages
English
Dataset Structure
Data Instances
A data point comprises an image and its object annotations.
{
'image_id': 15,
'image': <PIL.JpegImagePlugin.JpegImageFile image… See the full description on the dataset page: https://huggingface.co/datasets/Francesco/weed-crop-aerial.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.ImageWeeds_aerial_weed_detection
ImageWeeds Aerial Weed Detection
A dataset for object detection of weeds within crop fields. The dataset contains 551 images with 2,388 bounding box annotations across 5 categories.
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{rai2023multi,
title={Multi-format open-source weed image dataset for real-time weed identification in precision agriculture},
author={Rai, Nitin and Mahecha, Maria… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/ImageWeeds_aerial_weed_detection.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.Sesame_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.AerialMindAerial-Imagery
Dubai Aerial Semantic Segmentation Dataset
About the Dataset
Semantic segmentation of aerial imagery over Dubai, United Arab Emirates (UAE), into six land cover classes.
Context
Humans in the Loop is publishing this open-access dataset, created in collaboration with the Mohammed Bin Rashid Space Center (MBRSC) in Dubai, UAE.
The dataset aims to support machine learning and computer vision tasks in urban analysis, environmental monitoring, and remote sensing.… See the full description on the dataset page: https://huggingface.co/datasets/harshinde/Aerial-Imagery.aerial-cows
Dataset Card for aerial-cows
** The original COCO dataset is stored at dataset.tar.gz**
Dataset Summary
aerial-cows
Supported Tasks and Leaderboards
object-detection: The dataset can be used to train a model for Object Detection.
Languages
English
Dataset Structure
Data Instances
A data point comprises an image and its object annotations.
{
'image_id': 15,
'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB… See the full description on the dataset page: https://huggingface.co/datasets/Francesco/aerial-cows.INRIA-Aerial-Image-Labeling
Inria Aerial Image Labeling Dataset
Description
The Inria Aerial Image Labeling Dataset is a building semantic segmentation dataset proposed in "Can semantic labeling methods generalize to any city? the inria aerial image labeling benchmark," Maggiori et al.. It consists of 360 high-resolution (0.3m) RGB images, each with a size of 5000x5000 pixels. These images are extracted from various international GIS services, such as the USGS National Map.
Project page:… See the full description on the dataset page: https://huggingface.co/datasets/john5050/INRIA-Aerial-Image-Labeling.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.zebra-herds-aerial
Dataset Description
This dataset presents labelled top-view (nadir) aerial images of plains zebra (Equus quagga) herds. The footage was captured with a DJI Mini-series drone flying at an altitude of 60 metres, in January 2025 during a field campaign at the Ol Pejeta Conservancy, Laikipia County,
Kenya. Individual video frames were extracted and every visible zebra was annotated with a bounding box, making the dataset suitable for training and evaluating object-detection models… See the full description on the dataset page: https://huggingface.co/datasets/edouard-rolland/zebra-herds-aerial.waikato_aerial_2017_synthetic_ti_v2aerial-d
Generalized Referring Expression Segmentation on Aerial Photos
🔗 Quick Links
Aerial-D is a large-scale referring expression segmentation dataset for aerial imagery comprising 37,288 image patches with 1,522,523 referring expressions covering 259,709 annotated targets across individual instances, groups, and semantic categories spanning 21 distinct classes. The dataset contains high-resolution aerial photos (480×480 patches) with detailed instance… See the full description on the dataset page: https://huggingface.co/datasets/luisml77/aerial-d.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.