opengeos/geoai

Health v2 · maintenance only

Adoption not part of the score

3327 stars · 472 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

GeoAI is a Python package that integrates artificial intelligence with geospatial data analysis, built on PyTorch, Transformers, and segmentation models. It provides end-to-end workflows for downloading imagery, preparing training data, training and running inference on geospatial models, and visualizing results in maps or QGIS.

Use cases

• train a segmentation model on satellite imagery
• classify land cover from aerial photos
• download remote sensing data for analysis
• run object detection on geospatial rasters
• apply deep learning models to GeoTIFF imagery
• use AI workflows inside QGIS without coding
• zero-shot classify vector polygons with CLIP

When to choose

• you need deep learning on satellite or aerial imagery in Python
• you want an end-to-end pipeline from data download to model inference
• you want interactive map visualization of AI results
• you prefer high-level APIs over writing raw PyTorch geospatial code

When to avoid

• you only need classical GIS operations without machine learning
• you need a production web service for geospatial inference
• you work outside the Python ecosystem
• you lack a GPU and need large-scale training

Facets

library · maturity active

machine-learning deep-learning image-processing data-visualization computer-vision machine-learning deep-learning data-science python cross-platform geospatial-ai satellite-imagery segmentation remote-sensing qgis-plugin jupyter pytorch land-cover-classification geospatial gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="opengeos/geoai")