pose(s) | 2019
pose(s) was inspired by a few pieces from the Metropolitan Museum of Art's (Met) collection. I was interested in the diversity of female and male nude figures and ran the pieces of art through a machine learning model to identify the position of the different body parts. Afterwards, I overlaid the outcomes to create a composition that vaguely represents an average of female and male nudes in the Met collection.
Medium: Gouache on paper, laser cut on acrylic and paper
Materials: PoseNet, Museum Data, Adobe Creative Suite, Acrylic