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