GeoAI plugin for QGIS providing AI-powered geospatial analysis including Moondream vision-language model for image captioning, querying, object detection, and semantic segmentation model training and inference.
This plugin provides AI-powered geospatial analysis tools:
Moondream Vision-Language Model:
- Caption: Generate descriptions of geospatial imagery
- Query: Ask questions about images using natural language
- Detect: Detect and locate objects with bounding boxes
- Point: Locate specific objects with point markers
Semantic Segmentation:
- Train custom segmentation models (U-Net, DeepLabV3+, FPN, etc.)
- Run inference on raster imagery
- Export results as vector or raster data
SamGeo segmentation:
- Segment objects using text prompts (e.g., "tree", "building", "road")
- Segment using point prompts (foreground/background) or box prompts drawn on the map
- Process multiple points interactively or from vector files/layers
- Save results as raster (GeoTIFF) or vector (GeoPackage, Shapefile) with optional regularization
Requires the geoai-py Python package and PyTorch with CUDA support for optimal performance.
Plugin Tags