HEIGHT CLASS
-Machine Learning-

The project investigates the use of computational tools for developing a method of geometrical detection and classification of buildings through a specified parameter. In this case, the project develops a workflow based on 4 classes of heights(color coded) with a simple set-up that can be further complexified through an addition of a higher number of classes and parameters for division and classification.

HEIGHT CLASS is a project developed at IaaC, Institute for Advanced Architecture of Catalonia, developed at Master in Advanced Architecture 2019/20 by:
Student: Daria Ciobanu-Enescu
Faculty: Mateusz Zwierzycki