System and method for semantic segmentation of a source geometry

A computer system for performing semantic inference on an image of a location, the system comprising:

• at least one processor;
• and
• a memory in communication with the at least one processor, the memory storing computer-executable instructions which when executed by the at least one processor cause the system to perform:
• generating a raster image from a vector image of a location, the raster image including at least one partition, the at least one partition including a plurality of pixels;
• assigning a pixel class label to each of the plurality of pixels, the pixel class label including a usage type;
• and
• assigning a partition class label to the at least one partition based on the pixel class labels assigned to the plurality of pixels, wherein the partition class label includes a usage type for the partition.

A method of performing semantic inference on an image of a location, the method comprising:

• providing a raster image of a location;
• assigning the raster image at least one partition, the at least one partition including a plurality of pixels;
• assigning a pixel class label to each of the plurality of pixels, the pixel class label including a usage type;
• and
• assigning a partition class label to the at least one partition based on the pixel class labels assigned to the plurality of pixels, wherein the partition class label includes a usage type for the partition.