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YURAKUCHO ART SIGHT PROJECT

YURAKUCHO ART SIGHT PROJECT

YURAKUCHO ART SIGHT PROJECT

This project aims to rethink the relationship between the city and art in Yurakucho. As the first project, photographer Gu Kenryou and artist Kosuke Nagata presented new works on the theme of Yurakucho on the temporary wall of the Shinkokusai Building.

Date: 2020.06.22 – 2021.04.15
Venue: Shinkokusai Building – South West temporary enclosure

Organized by MITSUBISHI ESTATE CO., LTD.
Supported by The OMY Landlords Council

Gu Kenryou
Yurakucho 202004, 2020

For this project, Gu has photographed the Yurakucho area from the rooftops of the Yurakucho Denki Building, Marunouchi Nijubashi Building, Tokyo Building Tokia, and Yurakucho Ekimae Building, capturing a bird’s-eye view of the city. He creates his works using what he calls “digital weaving,” a method of creating a single image from multiple photographs. Gu uses image-editing software to “delete” and “suspend” each pixel, repeating the process tens of thousands of times, and then layering the material on top of each other to create a textile-like image. In this work, the low-rise lines of the Yurakucho buildings built in the 1960s appear on the 10-meter-wide work as a space that embodies the possibilities of the city to come.

Nagata Kosuke
Semantic Segmentation (Yurakucho), 2020

The series of works capturing the landscape of Yurakucho are based on an object detection algorithm using artificial intelligence, the same kind used in automated driving technology. In this work, Nagata focused on the discrepancy between the algorithm and the actual person, such as the person depicted in the printed material or the person reflected in the glass, as “Person” or the pattern of the reflection of a temporary enclosure as “Train”. This work shows that our perceptions are not merely visual, but are made up of a variety of contextual knowledge, and that our perception of cities is inherently diverse and cannot be done mechanically and uniformly.

Courtesy of ANOMALY

Photo by Tokyo Photographic Research Project

2024/11/21
15:57:29 JST

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