Poobesh Gowtham an Industrial Design Undergrad at the IDC School of Design, IIT in Bombay created an awesome color picker project, Vangogh. The website describes Vangogh as a “search engine for color palettes”. If you want to find a palette that embodies an idea, theme or word you can use Vangogh to suggest several palettes. The image below shows what we get when we search for ‘Adafruit’.
Once a query is submitted to the site, it searches Bing for 100 relevant images. These images are clustered based on their color similarity using k-means. Once similarly colored images are grouped together, they are grouped into a collection of colored pixels and mapped in 3D space using R,G,B as X,Y,Z. Then, k-means is used a second time to predict color clusters. Each group of 100 images is used to generate 5 themes of which you can choose 3 to 7 colors for each theme.
Each image is then converted to a collection of pixels. The constituting colors are visualised on a 3D space, where the spatial coordinates X,Y,Z are the values R,G,B of the pixel. The collection of colored points is then grouped using K-Means clustering, to generate the color palette. Palettes are tweaked and ranked based on color theory.
Just to compare, the picture above shows 5 basic color themes and the picture below shows some of the top results for ‘Adafruit’ image search on Bing. Looks pretty accurate although I would love to see a shock of pink in there too :). If you’d like to learn more about how Vangogh was created take a look at the ‘how it’s made’ page or checkout Poobesh Gowtham on GitHub.
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