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GeoOSAM QGIS 4 compatibility
Not QGIS 4 ready Active
Not yet — the latest version declares max QGIS version 3.99.0, so it is not offered to QGIS 4 users.
AI-powered segmentation for QGIS — SAM2.1 & SAM3 with text prompts, similar object detection, vector ROI, and professional GIS workflow features
About
GeoOSAM brings Meta's SAM 2.1 and SAM3 to QGIS with a streamlined 4-tab UI (Segment, Detect, Results, Filters). Point-click or draw a bounding box on any raster to instantly segment objects. SAM3 users unlock the Detect tab: run text-prompt auto-segmentation ("find all vehicles"), click a reference object to find similar ones across the scene, or use any existing polygon as an exemplar via Similar from Selection. Pro users can run these modes over entire rasters with automatic tiling and restrict processing to a vector polygon ROI. Includes 12 pre-defined classes with color coding, custom class creation, real-world size and shape filters (GSD-based), multi-point segmentation (Shift/Ctrl+click), multi-format export (GeoPackage, Shapefile, GeoJSON), undo support, and persistent output folder. Optimized for NVIDIA GPU, Apple Silicon, and multi-core CPU with automatic hardware detection and model selection.
| Author | Ofer Butbega |
|---|---|
| Downloads | 17,251 |
| Latest version | 1.4.3 |
| Last updated | 2026-06-12 (125 days ago) |
| Min QGIS | 3.16.0 |
| Max QGIS | 3.99.0 |
| QGIS 4 ready | No |
| Maintenance | Active |
| Category | AI & machine learning |
| Tags | ai, remote sensing, gis, satellite imagery, python, segmentation, urban planning, machine learning, sam2.1, sam, pytorch, cuda, performance optimization, geospatial analysis, sam2, apple silicon, environmental monitoring, raster analysis, gpu acceleration, computer vision, object detection, deep learning, intelligent model selection, semantic segmentation, ultralytics, sam2.1_b |
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Maintenance: Active = updated within 1 year, Quiet = 1–3 years, Likely abandoned = over 3 years.