A collection of a large-scale collection of residential floor plans structured as vector-graphs. The data captures architectural layouts and spatial connectivity to facilitate graph-based computational design and structural analysis.
Use Cases
- Train graph neural networks to predict architectural features using the vector-graph nodes and edges
- Develop generative models for automated floor plan synthesis based on the vector-graph structural data
- Perform spatial analysis of residential buildings by querying the connectivity within the vector-graph representations
Strengths
- Utilizes a vector-graph format to represent residential floor plan layouts
- Focuses on the spatial and structural connectivity of architectural elements
- Provides a large-scale corpus for residential architectural data analysis