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Lite Classify 1.0
First public release of Lite Classify: object-based land-cover mapping of drone
orthomosaics, offline on one Windows PC.
- Segment an orthomosaic (and optional DSM) into objects with SLIC, on CPU or NVIDIA GPU
- Discover the scene's classes with DINOv2 context embeddings and review them as image tiles
- Train a Random Forest from clicked examples and retrain until the map stabilizes
- Assess accuracy with a stratified sample: error matrix, area-weighted accuracy and
area estimates with 95% confidence intervals
User manual: https://leobarua.github.io/liteclassify/manual/