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
"My core belief is that everyone is creative. Never doubt your creativity. Get bored, play, don't focus on the end product. It's a bout the process. If you just let yourself get creative and play, then you will surprise yourself. Doing this is essential to
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.
"I always thought God's colors were browns and clays. And then one day I looked at the sunset, and I was like, Look at that neon pink! Wow, God made pink, too," and from that moment, she started seeing vibrant colors in people's faces and anatomy.