opengeos/segment-geospatial

Health v2 · maintenance only

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4122 stars · 440 forks observed · 2026-08-28

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

SamGeo (segment-geospatial) is a Python package that applies Meta AI's Segment Anything Model (SAM, SAM2, SAM3, HQ-SAM) to geospatial data such as satellite and aerial imagery. It supports downloading map tiles, segmenting GeoTIFFs with point/box/text prompts, exporting masks as GeoJSON/Shapefile/GeoPackage, and serving segmentation via a built-in FastAPI REST API.

Use cases

• segment satellite imagery into objects like buildings or swimming pools
• run SAM on GeoTIFF files and export masks as shapefiles
• segment remote sensing images with text prompts
• download map tiles from a TMS server and segment them
• serve image segmentation over HTTP for web apps
• interactively mark foreground and background points on a map to segment objects
• batch segment time series of remote sensing imagery

When to choose

• you need to segment geospatial or remote sensing raster data with minimal code
• you want SAM-based segmentation outputs in GIS vector formats
• you want a REST API or QGIS plugin around SAM for geospatial workflows

When to avoid

• you need general-purpose (non-geospatial) image segmentation without GIS formats
• you lack GPU resources and need fast inference on very large rasters
• you need automatic reprojection or CRS handling as part of segmentation

Facets

library · maturity active

machine-learning image-processing computer-vision geospatial sdk machine-learning deep-learning artificial-intelligence python cross-platform segment-anything sam sam2 sam3 satellite-imagery remote-sensing image-segmentation geotiff qgis-plugin rest-api geospatial gpu

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markdown · JSON · MCP: product_card(name="opengeos/segment-geospatial")