EasySegment
Plugin ID: 4942
Interactive HITL labeling and training plugin for geospatial segmentation using SAM3 and DINOv3-sat
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This plugin has an experimental version available!
EasySegment connects QGIS to a GPU inference backend for human-in-the-loop geospatial segmentation. Use it purely as a labeling tool, or run the full pipeline.
Workflow: create a project → define classes → draw exhaustive annotation regions → label with SAM3 or polygon tool → train → run batch inference → promote best model → correct and retrain.
Labeling: SAM3 interactive segmentation via multi-click prompts directly on the QGIS viewport (left-click adds, right-click negates). Polygon draw tool available as an alternative. Labels are stored as polygons.
Training: DINOv3-sat backbone pretrained on 493M satellite images with a UperNet head. Only the head trains — 50–100 labelled features per class is enough to start.
Inference: Batch inference over any raster extent. Results load as a styled vector layer with a confidence heatmap for guided correction.
Raster support: Works with any QGIS layer — GeoTIFF, WMS, XYZ tile URLs. Captures the viewport directly for SAM3 prompts and training chips.
Backend: Requires a separate FastAPI + GPU server (https://github.com/anemes/backend_samdino). Supports remote hosting with optional API key authentication.
