satellite-image-deep-learning/datasets
A curated collection of datasets for training deep learning models on satellite and aerial imagery.
★1.2k stars Data Tooling

Velocity · 7d
+0.9
★ / day
Trend
→steady
star history
This repository provides a categorized list of datasets for deep learning applications in satellite and aerial imagery analysis. It aggregates references to Earth observation datasets, remote sensing benchmark collections, and data hubs such as Radiant MLHub, Microsoft Planetary Computer, and Google Earth Engine. The collection is organized by topic including change detection, time-series analysis, and Sentinel/Copernicus data sources.