Segmentation is an embodied immersive installation created for the exhibition Machines as Humans as Machines. Shown through a screen placed in a shop window, the work allows viewers to encounter a segmented, machine‑interpreted version of themselves.
Segmentation is a core method in machine learning: it enables AI systems to break down visual information into structured components. The installation mirrors this process - observing the human face, deconstructing it into discrete fragments, then recursively rebuilding it into a shifting, emergent whole.
This duality reflects segmentation both in technology and biology:
- In machine learning: segmentation organizes visual data into meaningful parts, enabling analysis, categorization, and recognition.
- In biology: fragmentation is a form of asexual reproduction where a piece of an organism breaks off and grows into a complete, genetically identical individual.
In the installation, identity becomes a fluid, transforming construct rather than a fixed representation. As the system analyzes the viewer, it generates a new self-image that mutates, hides, reveals, camouflages, and redefines itself - questioning traditional boundaries of digital presence, self‑perception, and representation.
About the exhibition, in Hungarian.
The work was part of the Digital Therapy solo exhibition, 2025.