Landmarks (Ongoing)


Screenshot of Landmarks website featuring pink text on a blackground with a smaller white and grey image in the center featuring a face with facial recognition readings overlayed on top.

Screenshot of Landmarks website, 2021 -


Overview

Landmarks is an exploration of the ways machine learning, and specifically facial recognition, fails to comprehend trans bodies (misgendering) and the threat this failure possesses to trans livelihoods as these technologies become increasingly integrated into our daily lives. The work consists of an interactive website featuring compositions that explore these issues.

The site is under constant construction and revision and will be open for viewing and engagement as it grows and takes on new forms, content, and ideas. The intention in doing so is to invite the viewers into the act of coding and to resist a static form. This constant revision/evolution can also be understood as performance art through the medium of code.

Landmarks asks us to consider how technology sees us and what happens when it fails to see us for who we are?

Landmarks was hand-coded using HTML, CSS, and JavaScript and specifically the face-api.js and Paper.js JavaScript libraries. This project was initiated at Laboratory Art + Residency as part of their Winter 2021 residency cohort.

Links

Live Site:
https://landmarks.cloud/

Code Repository:
https://github.com/cthompto/Landmarks



Additional Documentation

Screenshot of Landmarks website.

Screenshot of Landmarks composition Empire, 2021

Screenshot of Landmarks website.

Screenshot of Landmarks composition Stages, 2021




For additional documentation and/or information about this project, please feel free to contact me at:
[email protected]