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… See the full description on the dataset page:
https://huggingface.co/datasets/HamidRafizadeh/BrickNet.
