Why it’s interesting
Anna Ridler photographed and classified roughly ten thousand tulips by hand, turning the dataset itself into an independent wall-sized artwork. Each flower is both an image and a coordinate in the later machine-learning process.
The hidden labor of data collection becomes impossible to ignore: a whole wall of individual flowers, handwritten numbers, color changes, and petal states sits behind the generated work.
How to try it
Open the official project page, view the installation panorama, then zoom into individual photographs. Compare color, petal condition, and handwritten labels to see how the dataset was constructed.
Use the official page or demonstration as the current reference. Do not assume that a staged installation, limited experiment, account-gated demo, subscription feature, or physical product is available everywhere.
Requirements and sources
This entry credits Anna Ridler and keeps “Myriad (Tulips)” as the original title. It is free to view or try and available as an immediate browser or media experience. Pricing, access, regional availability, accounts, hardware, and service support can change, so verify them on the [first-party source](https://annaridler.com/works/myriad-tulips) before trying or buying. The description stays within the documented AI role and does not treat promotional claims as independent testing.