Semantic Segmentation

2022 - 23

About the series

Semantic Segmentation is a series of oil and digital paintings exploring how machines parse the visual world. Moving between physical material and computational representation, the artist translates machine-derived interpretations of landscapes back through the human hand and eye. Several works begin with a tree in Pieter Bruegel the Elder’s 1565 painting The Harvesters, transformed by computer vision into a color-coded map of semantic categories—tree, plant, sky, person—and then returned to painting.

Nature shaped the evolution of human vision and, through the images humans produce, the development of machine vision. Yet the data centers that sustain these systems increasingly consume natural resources themselves. Against the backdrop of climate change, Semantic Segmentation considers the entangled relationship between nature, human perception, and the machines we have taught to see.

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Edge Detectors in the Wild (Oil paintings, 2022)