datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
wmo-oscar-satellites
WMO OSCAR Satellite Database
Part of the Orbital Mechanics Datasets collection on Hugging Face.
The most comprehensive international database of Earth observation satellites and instruments, maintained by the World Meteorological Organization (WMO) through their
OSCAR/Space portal (Observing Systems Capability Analysis and Review Tool).
Currently 1,025 satellites and 1,230 instruments from 81 space agencies worldwide.
Unlike catalogs that focus on a single agency (e.g., NASA, ESA)… See the full description on the dataset page: https://huggingface.co/datasets/juliensimon/wmo-oscar-satellites.satellite-building-segmentation
Dataset Labels
['building']
Number of Images
{'train': 6764, 'valid': 1934, 'test': 967}
How to Use
Install datasets:
pip install datasets
Load the dataset:
from datasets import load_dataset
ds = load_dataset("keremberke/satellite-building-segmentation", name="full")
example = ds['train'][0]
Roboflow Dataset Page
https://universe.roboflow.com/roboflow-universe-projects/buildings-instance-segmentation/dataset/1
Citation… See the full description on the dataset page: https://huggingface.co/datasets/keremberke/satellite-building-segmentation.ucs-satellite-database
UCS Satellite Database
Credit: NASA
Part of a dataset collection on Hugging Face.
Dataset description
The Union of Concerned Scientists (UCS) Satellite Database is the most comprehensive publicly available database of operational satellites. Updated roughly quarterly, it includes detailed information about each operational satellite: its name, country of registry, operator, purpose, orbital parameters, launch details, and physical characteristics.
What… See the full description on the dataset page: https://huggingface.co/datasets/juliensimon/ucs-satellite-database.satellite-conjunctions
Satellite Conjunctions (SOCRATES Near-Misses)
Credit: NASA
Part of a dataset collection on Hugging Face.
Dataset description
A growing log of close approaches ("conjunctions") between catalogued objects in Earth orbit, from CelesTrak's SOCRATES screening service. Updated daily, accumulating distinct near-miss events over time.
SOCRATES (Satellite Orbital Conjunction Reports Assessing Threatening Encounters in Space) propagates the public two-line element… See the full description on the dataset page: https://huggingface.co/datasets/juliensimon/satellite-conjunctions.VHR-10The VHR-10 dataset mirrored from https://github.com/chaozhong2010/VHR-10_dataset_coco
NWPU VHR-10 data set is a challenging ten-class geospatial object detection data set. This dataset contains a total of 800 VHR optical remote sensing images, where 715 color images were acquired from Google Earth with the spatial resolution ranging from 0.5 to 2 m, and 85 pansharpened color infrared images were acquired from Vaihingen data with a spatial resolution of 0.08 m. The data set is divided into two… See the full description on the dataset page: https://huggingface.co/datasets/satellite-image-deep-learning/VHR-10.satellite-imagery-projectlow-alt-satellite-image-dataset-5k-sam3-segmented_jsonweather_france_radar_satellite_gs
This dataset is a ready-to-use fusion of multiple datasets for the France region, including:
Ground station data: Sourced from data.gouv.fr with a 1-hour resolution. It includes 7 weather KPIs: "RR1", "FF", "DD", "T", "U", "PMER", and "VV".
Radar imagery: Radar rainfall accumulation images from the Météo-France open data initiative.
Geospatial data: Land cover and ground height information from EarthEnv and OpenTopography.
Satellite imagery: Sourced from the EUMETSAT platform… See the full description on the dataset page: https://huggingface.co/datasets/meteolibre-dev/weather_france_radar_satellite_gs.low-alt-satellite-image-dataset-5k-sam3-segmentedcontrolnet-satellite-mapssatellite-building-segmentation
Dataset Labels
['building']
Number of Images
{'train': 6764, 'valid': 1934, 'test': 967}
How to Use
Install datasets:
pip install datasets
Load the dataset:
from datasets import load_dataset
ds = load_dataset("keremberke/satellite-building-segmentation", name="full")
example = ds['train'][0]
Roboflow Dataset Page
https://universe.roboflow.com/roboflow-universe-projects/buildings-instance-segmentation/dataset/1
Citation… See the full description on the dataset page: https://huggingface.co/datasets/merve/satellite-building-segmentation.global-dense-satellite
global_dense
Globally distributed, dense hierarchical satellite imagery for evaluating
hierarchical satellite generation models.
20,608 satellite tiles across 256 sites worldwide, structured as complete
parent-child quadtrees from zoom 10 down to zoom 18. Designed as an
out-of-distribution evaluation set for models trained on
Git-10M — every tile in
this dataset is guaranteed disjoint from Git-10M's location set.
What's in here
Each row is one satellite tile. A "site"… See the full description on the dataset page: https://huggingface.co/datasets/dcher95/global-dense-satellite.small_rsod_satellite_images_instructgcat-satellite-catalog
GCAT Satellite Catalog
Part of the Orbital Mechanics Datasets collection on Hugging Face.
Comprehensive catalog of 68,538 space objects from
GCAT (General Catalog of Artificial Space Objects),
maintained by Jonathan McDowell at the Harvard-Smithsonian Center for Astrophysics.
Covers every cataloged spacecraft, rocket body, and debris piece from 1957 to present,
with orbital parameters, physical dimensions, mass, ownership, and operational status.
Dataset description… See the full description on the dataset page: https://huggingface.co/datasets/juliensimon/gcat-satellite-catalog.satellite-civilian-conflict-disruption-reporter-v1
Satellite Civilian Conflict Disruption Reporter v1
Dataset ID: ChrisRPL/satellite-civilian-conflict-disruption-reporter-v1
Status
This is a valid diagnostic reporter-schema dataset, not the current Blackline Atlas canonical model gate. The canonical compact calibration/gold dataset remains ChrisRPL/satellite-disruption-triage-aux-v2-2.
Use this dataset for future schema-simplification experiments only after respecting the mixed source licenses. Do not treat the associated… See the full description on the dataset page: https://huggingface.co/datasets/ChrisRPL/satellite-civilian-conflict-disruption-reporter-v1.satellite-maps-113k
Satellite-Maps-113K
Dataset Description
Satellite-Maps-113K is a collection of 113,000 high-definition (HD) satellite/aerial imagery tiles, each 512x512 pixels. The images cover a wide variety of urban, suburban, and natural terrain, captured at a consistent altitude and viewing angle for visual consistency across the dataset.
Size: 113,000 images
Resolution: 512x512
Format: WebP, stored in a single data.parquet file
Author: ezfiez dev
License: CC BY 4.0… See the full description on the dataset page: https://huggingface.co/datasets/ezfiez/satellite-maps-113k.small_rsod_satellite_images_instruct_mixramanv-image-real-satellitesatellite-ground-stations-bgp-dataSatellite_Traffic_Conjunction_Risk
Orbital Commons — Satellite Traffic & Conjunction Risk Analytics Dataset
Processed and enriched datasets derived from CelesTrak's public GP / SATCAT /
SOCRATES Plus feeds, produced by the Orbital Commons Medallion pipeline on
2026-08-22. Every table ships as Parquet with explicit dtypes.
Why this dataset is different
OMM-native, six-digit-ID complete. Ingested exclusively via OMM JSON/CSV,
so it includes satellites cataloged after 2026-07-11 ("SARAMAGO", NORAD ID… See the full description on the dataset page: https://huggingface.co/datasets/prasad-gade05/Satellite_Traffic_Conjunction_Risk.africa-drc-eaux-de-surface-detectees-par-satellite-entre-le-24-novemb-128b0b72
Eaux de surface détectées par satellite entre le 24 novembre et le 05 décembre 2022 dans la province de Tshopo, République Démocratique du Congo | Africa (DRC official open data)
74 rows - 1 Africa country - 2019-2022 - Repackaged by Electric Sheep Africa
TL;DR
This dataset packages one official XLSX resource from DRC as
ML-ready Parquet. The source file is the provenance boundary; all usable
indicators or tabular columns from the resource stay together in… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-drc-eaux-de-surface-detectees-par-satellite-entre-le-24-novemb-128b0b72.satellite_trees_wroclaw_2024
Dataset Card for Satellite Trees Wroclaw 2024
The Satellite Trees Wroclaw 2024 dataset contains high-resolution satellite imagery and metadata of trees in Wroclaw, Poland, collected in 2024. The dataset is organized into three main directories: images, metadata, and results.
images/: Contains orthophotomaps of different regions in Wroclaw.
metadata/: Contains JSON files with metadata for each tile, including information about the trees in the corresponding satellite images.… See the full description on the dataset page: https://huggingface.co/datasets/Filipstrozik/satellite_trees_wroclaw_2024.satellite-pictures-classification-ign-france
Dataset Overview and Labels
Methodology
The dataset was constructed from satellite imagery using geospatial references obtained from IGN geoservices and OpenStreetMap (OSM). The methodology consisted of two main stages:
Geodata preparationTo ensure spatial consistency, a three-step procedure was applied:
Definition of spatial boundaries, such as departments, communes, or islands.
Intersection with thematic datasets, including agricultural parcels, building… See the full description on the dataset page: https://huggingface.co/datasets/hadrilec/satellite-pictures-classification-ign-france.africa-drc-eaux-de-surface-detectees-par-satellite-entre-le-01-et-le-ad792dc7
Eaux de surface détectées par satellite entre le 01 et le 28 novembre 2022 dans les provinces de l'Equateur, du Nord-Ubangi et du Sud-Ubangi, République Démocratique du Congo | Africa (DRC official open data)
30 rows - 1 Africa country - 2019-2022 - Repackaged by Electric Sheep Africa
TL;DR
This dataset packages one official XLSX resource from DRC as
ML-ready Parquet. The source file is the provenance boundary; all usable
indicators or tabular columns from… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-drc-eaux-de-surface-detectees-par-satellite-entre-le-01-et-le-ad792dc7.ts-aims-reefscapes-satellite-segmentation
Dataset Card for "ts-aims-reefscapes-satellite-segmentation"
More Information needed
satellite-lora
Dataset Card for "satellite-lora"
More Information needed
satellite_trees_wroclaw_2022
Dataset Card for Satellite Trees Wroclaw 2022
The Satellite Trees Wroclaw 2022 dataset contains high-resolution satellite imagery and metadata of trees in Wroclaw, Poland, collected in 2022. The dataset is organized into three main directories: images, metadata, and results.
images/: Contains orthophotomaps of different regions in Wroclaw.
metadata/: Contains JSON files with metadata for each tile, including information about the trees in the corresponding satellite images.… See the full description on the dataset page: https://huggingface.co/datasets/Filipstrozik/satellite_trees_wroclaw_2022.africa-eaux-de-surface-detectees-par-satellite-entre-le-01-et-le-28-novembre-2022-dans-les-provi
Eaux de surface détectées par satellite entre le 01 et le 28 novembre 2022 dans les provinces de l'Equateur, du Nord-Ubangi et du Sud-Ubangi, République Démocratique du Congo | Africa (original)
Size category: n<1K - Formats: parquet - Sector: humanitarian_development - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-eaux-de-surface-detectees-par-satellite-entre-le-01-et-le-28-novembre-2022-dans-les-provi.africa-cumulative-satellite-detected-waters-and-impact-in-kenya-between-24-to-28-april-2024
Cumulative Satellite Detected Waters and Impact in Kenya between 24 to 28 April 2024 | Africa (original)
Size category: n<1K - Formats: parquet - Sector: climate_environment - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This Dataset Covers… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-cumulative-satellite-detected-waters-and-impact-in-kenya-between-24-to-28-april-2024.satellite-multitask-omni
🛰️ Satellite Multi-Task Omni Dataset
A unified, multi-task satellite/aerial imaging dataset designed for training omni-models that work with image+text as both input and output modalities. All data is converted to a consistent ChatML conversational format.
📊 Dataset Overview
Metric
Value
Total Samples
34,894
Train / Val / Test
31,404 / 1,744 / 1,746
Tasks
9 distinct task types
Sources
10 source datasets
Format
ChatML conversations + images… See the full description on the dataset page: https://huggingface.co/datasets/rahuldshetty/satellite-multitask-omni.