datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
power-plant-satellite-imagery-dataset-mirror
Power Plant Satellite Imagery Dataset — Figshare mirror
This repository is an unmodified file mirror of version 1 of the Figshare
record Power Plant Satellite Imagery Dataset.
Figshare remains the canonical source. This mirror is provided for easier access from
Hugging Face tooling; it is not a new dataset release and is not affiliated with or
endorsed by the original authors.
The original dataset contains satellite imagery for 4,454 United States power plants:
1 m four-band… See the full description on the dataset page: https://huggingface.co/datasets/sarkarghya/power-plant-satellite-imagery-dataset-mirror.overfitteam-geneva-satellite-images
Geneva Satellite Images Dataset - Rooftop Segmentation
Satellite Image
Segmentation Label
Dataset Description
This dataset contains high-resolution satellite imagery of Geneva, Switzerland, with corresponding segmentation labels for rooftop detection. The dataset was originally created for research on automated solar panel installation assessment using deep learning. It was developed as part of a study published in the Journal of Physics: Conference… See the full description on the dataset page: https://huggingface.co/datasets/raphaelattias/overfitteam-geneva-satellite-images.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.low_alt_satellite_image_dataset_500
Low Altitude Satellite Image Dataset (500 samples)
Dataset Description
This dataset contains 499 low-altitude satellite/aerial images of urban areas with comprehensive metadata including:
Geographic information: Latitude, longitude, urban classification
Street-level features: Road coverage, building coverage, vegetation coverage, green view index, sky view index, vehicle presence
Infrastructure details: Highway type, number of lanes, road width
Satellite analysis scores:… See the full description on the dataset page: https://huggingface.co/datasets/Sadhana-24/low_alt_satellite_image_dataset_500.overfitteam-geneva-satellite-images
Geneva Satellite Images Dataset - Rooftop Segmentation
Satellite Image
Segmentation Label
Dataset Description
This dataset contains high-resolution satellite imagery of Geneva, Switzerland, with corresponding segmentation labels for rooftop detection. The dataset was originally created for research on automated solar panel installation assessment using deep learning. It was developed as part of a study published in the Journal of Physics: Conference… See the full description on the dataset page: https://huggingface.co/datasets/Sumedh-21/overfitteam-geneva-satellite-images.autotrain-data-satellite-image-classification
AutoTrain Dataset for project: satellite-image-classification
Dataset Descritpion
This dataset has been automatically processed by AutoTrain for project satellite-image-classification.
Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
Data Instances
A sample from this dataset looks as follows:
[
{
"image": "<256x256 CMYK PIL image>",
"target": 0
},
{
"image": "<256x256 CMYK PIL image>"… See the full description on the dataset page: https://huggingface.co/datasets/lky23/autotrain-data-satellite-image-classification.autotrain-data-satellite-image-classification
AutoTrain Dataset for project: satellite-image-classification
Dataset Descritpion
This dataset has been automatically processed by AutoTrain for project satellite-image-classification.
Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
Data Instances
A sample from this dataset looks as follows:
[
{
"image": "<256x256 CMYK PIL image>",
"target": 0
},
{
"image": "<256x256 CMYK PIL image>"… See the full description on the dataset page: https://huggingface.co/datasets/jhyeok724/autotrain-data-satellite-image-classification.