Machine learning techniques for extracting floorplan elements from architectural drawings
AssigneeAutodesk, Inc.
InventorsYan FU, Keith ALFARO, Manuel MARTINEZ ALONSO, Graceline Regala AMOUR, Simranjit Singh KOHLI
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Abstract
One embodiment of the present invention sets forth a technique for extracting data from an architectural drawing. The technique includes performing one or more operations via one or more machine learning models to extract a first image of a floorplan area from the architectural drawing. The technique also includes generating a boundary segmentation based on the first image of the floorplan area, wherein the boundary segmentation includes one or more boundary types for one or more portions of the floorplan area.
Claims1
A computer-implemented method for extracting data from an architectural drawing, the method comprising:
- performing one or more operations via one or more machine learning models to extract a first image of a floorplan area from the architectural drawing;
- and
- generating a boundary segmentation based on the first image of the floorplan area, wherein the boundary segmentation includes one or more boundary types for one or more portions of the floorplan area.
Dependencies are inferred from the claim text.