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Art Scene Disrupting the Market Through Inclusion


Art Scene (formerly AI Art Advisor), the next-generation art discovery and evaluation app, is disrupting the art market by combining cutting-edge technology with deep insights into art and aesthetics. Our proprietary "artistic quotient" machine learning system helps users discover their unique taste in art and navigate the art market with confidence. With Art Scene, collecting art is no longer limited to the elite few - our app is democratizing the market and making it accessible to everyone.



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color quantization Tag

Appreciating Art through the Lens of Data Science

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

Visualizing Color Usage

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

Paintings Over Time

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

Appreciating Art through the Lens of Data Science

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