logo

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.



-1
archive,tag,tag-art,tag-48,wp-custom-logo,qi-blocks-1.2.7,qodef-gutenberg--no-touch,stockholm-core-2.4,qodef-qi--no-touch,qi-addons-for-elementor-1.7.0,select-theme-ver-9.9,ajax_fade,page_not_loaded,side_area_over_content,,qode_menu_,qode-mobile-logo-set,elementor-default,elementor-kit-550

art 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

What’s Your Favorite Color?

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

Making Art Sm’art’er

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

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

Aviator Turned Artist

Phil was a decorated Aviator with a 20-year career flying almost every aircraft in the Army inventory. While stationed in Kansas, he began to take art classes. Thus, starting his career as a fine arts painter. Then, making his way to Santa Fe, where he