Georgia Tech students explore color recognition in artworks through an innovative fusion of APIs and machine learning. The research utilizes the Art Institute of Chicago's API for metadata acquisition, combined with a color clustering algorithm, allowing for a detailed statistical analysis of color usage in
Team Splatoon's third installment explores the intricate process of tuning the Colorific algorithm for the Budget Collector dataset. Through the development of "truth" data, hyperparameter optimization, and the creation of an interactive time series visualization, they have made significant strides towards accurately representing the human
Previous Blog TLDR: Our goal of this post is to implement color quantization in R, compare several methods of detecting segments of an image, and start creating the visualization UI. It’s no surprise that this topic naturally lends itself to some preliminary data exploration and visualization, and
Explore the fascinating world of color extraction and computer vision in our latest article. Discover how k-means clustering, an unsupervised machine learning algorithm, is used to extract dominant colors from paintings. Learn about raster and vector graphics, RGB color spaces, and the comparison between K-means
This article explores the use of clustering algorithms and art museum APIs to extract dominant color palettes from artworks, with a focus on the collection of the Art Institute of Chicago. The authors demonstrate how to programmatically access image and metadata, extract color statistics, and
Team Splatoon introduced the Georgia Tech Spring 2023 Practicum Project where we partner with Budget Collector to determine relationships between colors and their regions, time periods, or other data of interest. We experimented with color quantization methods via k-means and median cut. We found that
Artistic passion and love have brought Elisabeth Condon and Karl Kelly together as both artists and partners. The pair has collaborated on several projects in the past, including the Lattice Views mural project sponsored by Norte Maar. But how do they feel about analytics and
Join us in the process of creating an interactive medium for artists, art collectors, and art enthusiasts to visualize the color changes with changes in art movements, globally, using data analytics and software development.
Next Blog Team Members Firstly, a brief introduction to the team working on the project. Luis Murrugarra Informatics engineer from Peru. Currently residing in Chile, working in data analytics for a ride-hailing company Kunal RayCurrently working with Anheuser Busch – InBev as Marketing Analytics Manager. Resides in Bengaluru (Bangalore), India Brandon WolframResiding in Tampa, Florida and currently working on the results
The Artworkers want to understand the way that colors get represented within paintings geographically and chronologically. Over the next few weeks, we will create a time series visualization that correlates region and the painting’s dominant colors.