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AI Segmentation by TerraLab QGIS 4 compatibility

QGIS 4 ready Active

Yes — AI Segmentation by TerraLab supports QGIS 4 (declared max version 4.99.0).

AI segmentation in QGIS 3.22 to 4. Draw a zone, name an object and get every building footprint, tree or solar panel as vector polygons, or click one object for its outline. No GPU. Free tier, no card.

About

AI Segmentation by TerraLab uses its own detection models, tuned for aerial and satellite imagery. Draw a zone on your imagery, type what you want ("buildings", "trees", "solar panels") and get every match back as vector polygons. Or click one object and get its outline. It replaces tracing by hand. • Automatic: every building, tree or other object inside the zone you draw, in one run, with a live preview. It runs on TerraLab servers, so no graphics card is needed • Semi-Auto: click an object, add positive and negative points, get a clean outline. Pick "My computer" and it runs locally and offline, or "Cloud AI" and nothing needs downloading • Works on the imagery you already have: orthophotos, drone and satellite images as GeoTIFF, JPG or PNG, and online basemaps (WMS, XYZ tiles) • Review before you keep: right angles for buildings, expand, contract, simplify, round corners, fill holes, then export to GeoPackage, Shapefile or GeoJSON • Installs itself: the model and its dependencies set up on first run, with no Python setup • Free tier with no card. Plans and limits: https://terra-lab.ai/pricing • Privacy: Semi-Auto on "My computer" sends nothing. "Cloud AI" sends a small image crop around each click to our servers. Automatic sends the imagery inside the zone you draw to our detection service • Windows, macOS and Linux, QGIS 3.22 to QGIS 4 • 12 languages: English, French, Portuguese, Spanish, German, Italian, Dutch, Polish, Indonesian, Japanese, Chinese (simplified and traditional) By TerraLab, terra-lab.ai

AuthorTerraLab
Downloads70,767
Latest version3.5.1
Last updated2026-10-11 (4 days ago)
Min QGIS3.22.0
Max QGIS4.99.0
QGIS 4 readyYes
MaintenanceActive
CategoriesAI & machine learning, Remote sensing
Tagsai, remote sensing, machine learning, deep learning, satellite, raster, segmentation, ia, classification, vectorization, polygon, digitizing, artificial intelligence, image segmentation, feature extraction, building detection, object detection, computer vision, drone, satellite imagery, vector, sentinel, uav, ortofoto, remote-sensing, polygons, vegetation, urban planning, vetor, landsat, aerial, orthophoto, vector layer, geotiff, georreferenciamento, neural network, sentinel-2, agriculture, geopackage, gpkg, multispectral, forestry, instance segmentation, satellite images, buildings, georeferencing

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