Masonry Wall Classification

Emire Nur Solmaz

2023 Spring
BS723 | Machine Learning Applications in Architecture

Masonry walls have different patterns with various sizes of stones. Moreover, along with the dimensions, the shapes of the stones are also varying. There are too many probabilities of different patterns with stones. The human eye is not feasible for pattern recognition. Instead, the machine can obtain and evaluate the information of the pattern and can classify them with different labeling strategies. The main aim of the classification of the project is whether the pattern is close-packed or not.

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