Art Palette is part of Arts & Culture experiments, which explore innovative ways for users to interact with art collections. With Art Palette, you can search for artworks that match a color combination of your choice.

Some elements of the site are not in the repository but it gives you the base code and concepts to build your own efficient search by palette tool.

The source code is separate in two parts :

1. The frontend Javascript code used to extract the color palette from an image.
2. The backend Python code used to find the nearest palettes matching a given one with the palette embedding TensorFlow model.

Javascript palette extractor that returns the palette calculated for an ImageData.

Machine learning model that returns an embedding of color palettes in an Euclidean space that preserves perceptual distance. This embedding enables efficient nearest-neighbor search.

Etienne Ferrier and Simon Doury with friends at the Google Art & Culture Lab.

Copyright 2018 Google Inc.

Licensed under the Apache License, Version 2.0 (the “License”); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0

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N.B.: This is not an official Google product.