mars-map-autoregressive

An automated feature extraction model that converts satellite imagery into accurate, attributed, vectorized GIS data for map workflows. An automated feature extraction model that converts satellite imagery into accurate, attributed, vectorized GIS data for map workflows. Unlike traditional raster-based segmentation methods, MARS generates native vector features for standard feature ontologies, enabling improved generalization across feature classes and delivering high quality, consistent, generation of map features. MARS uses an autoregressive transformer architecture built on the HuggingFace ecosystem. The model processes satellite or aerial imagery tiles and outputs GeoJSON geometries (polygons for buildings, polylines for roads/railways) with category labels and confidence scores.

Supported Categories

Category	Geometry Type	Model
Building	Polygon	Polygon model
Road	LineString	Polyline model
Railway	LineString	Polyline model