t-SNE Map

Artworks mapped using Machine Learning.
By Cyril Diagne, Nicolas Barradeau & Simon Doury

Available on desktop only.


You can explore an interactive 3D landscape created by Machine Learning algorithms that organised thousands artworks by visual similarity. The more similar two artworks, the closer they are. The algorithms only “looked” at the artworks. No meta data was used, the visual similarity was calculated with a computer image algorithm used in Google Search purely based on the images. We then applied the t-SNE algorithm, usually used to debug static images, to create an interactive virtual space that you can navigate, and look at artworks from any angle and at scale.


Want to know more? Watch this Ted Talk.

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