Modified Swiss Dwellings: a Machine Learning-ready Dataset for Floor Plan Auto-Completion at Scale
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Modified Swiss Dwellings The Modified Swiss Dwellings (MSD) dataset is a machine learning-ready dataset for floor plan auto-completion at scale . The MSD dataset is derived from the Swiss Dwellings database (v3.0.0). The MSD dataset (train split) contains 4167 floor plans of single- as well as multi-unit building complexes across Switzerland , hence extending the building scale w.r.t. of other well know floor plan datasets like the RPLAN dataset. Since the MSD dataset will be part of a challenge @ ICCV in Paris, 2023, October 3, the test split is not yet made public . This will be added after the submission deadline of the challenge, which will be around mid September 2023. Cleaning, filtering, and processing All cleaning, filtering, and processing is done in Python. The Swiss Dwellings database is cleaned and filtered on residential building complexes that have a minimum room count (>10) and have at least 2 "Zone 2" rooms ( e.g. , living room, corridor, kitchen, dining). A graph extraction algorithm fully based on the `shapely` and `networkx` libraries in Python was developed to extract the access graphs from the filtered floor plans. Dataset structure The MSD dataset contains 3 …
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