awesome-satellite-imagery-datasets
A curated list of satellite and aerial imagery datasets with annotations for computer vision and deep learning tasks.
What is awesome-satellite-imagery-datasets?
Awesome Satellite Imagery Datasets is a curated, categorized list of publicly available datasets for training computer vision and deep learning models on satellite and aerial imagery. It addresses the problem of fragmented and hard-to-discover geospatial training data by providing a single, structured resource with detailed metadata for each dataset.
Researchers, data scientists, and machine learning engineers working on geospatial computer vision projects, such as object detection in satellite imagery, land cover classification, or disaster damage assessment.
It saves significant time in dataset discovery and evaluation by aggregating and organizing datasets from various sources (academia, competitions, government) with consistent, practical metadata, enabling faster prototyping and benchmarking in geospatial AI.
Overview
🛰️ List of satellite image training datasets with annotations for computer vision and deep learning
Use Cases
Best For
- Finding annotated satellite imagery datasets for object detection tasks like building or ship identification
Related Projects
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