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
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
The article explores the use of color in art throughout history and outlines the development of different color theories by philosophers and scientists. It discusses the process of creating an interactive visualization to analyze color usage in artworks over time and across regions, using datasets
Computers need strict parameters in order to make decisions. How can we define the nuances in color in order to help a computer find trends in art?
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.
The article discusses a project to analyze patterns in the use of colors in paintings by using a 3D K-Means clustering algorithm to extract the dominant colors in images and their associated metadata, and then using this data to perform time series and spatial regression.
The Budget Collector MSA Practicum is an opportunity for the art community to work with data scientists to develop innovative solutions to real-world problems. Whether you're an experienced professional or just starting, we're looking for individuals passionate about using their creativity to make a positive
In the background of app testing and data analysis, Budget Collector was preparing to onboard 20 master students from The Georgia Institute of Technology (AKA Georgia Tech). Georgia Tech’s Master of Science in Analytics program is an interdisciplinary data science degree which requires students to