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?
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.
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 three of us in Team Splatoon have partnered with Budget Collector to analyze relationships between dominant and secondary colors in artwork with region of origin, art period, or time. We will accomplish this by deploying various color quantization techniques that extract key color information from each piece
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
During an exploration of open art datasets/databases during my time at the University of Illinois at Chicago, I became interested in the possibility of predicting whether an artwork would be cataloged or not. Cataloging, as Merriam-Webster defines it, is the action of “classify[ing] (something, such