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license: cc-by-4.0 |
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tags: |
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- Architecture |
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- Wall |
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- Pattern |
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- Generative |
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size_categories: |
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- 10K<n<100K |
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Brief Description: |
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The BrickNet Dataset is a collection of brick wall patterns developed for research at the intersection of machine learning, computational design, and robotic fabrication. The dataset supports architectural studies of aesthetic variation, pattern diversity, and algorithmic generation of wall patterns for robotic dry stacking. Research Applications include: |
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Generative Modeling: Training Variational Autoencoders (VAEs), GANs, or Diffusion Models for wall design generation |
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Pattern Recognition: Clustering and analyzing structural/aesthetic design tendencies |
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Fabrication Research: Robotic assembly, structural optimization, and material-driven design studies |
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Creative Exploration: Design space exploration in computational architecture and art |
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Dataset Overview: |
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Dataset Name: BrickNet |
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File Format: CSV (rows = walls, columns = bricks/features) |
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Size: 30,000+ unique wall samples, 180+ features per wall |
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Reshaping: Rows can be reshaped into grids (20×9) |
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Domain: Architectural geometry, material systems, fabrication-aware design |
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Cite as: Rafizadeh, Hamidreza; (2025): BrickNet (Version 1.0). Queensland University of Technology. (Dataset) https://doi.org/10.25912/RDF_1761889522635 |
