This blog post titled "Giving Color Vision to a Machine" by Global Data Artists delves into the intricate process of training a machine to recognize and categorize similar colors within different images. The authors detail their approach of employing KMeans clustering on image data, confronting
This article explores extracting the top 5 dominant colors from images using K-Means Clustering Algorithm. They utilize a dataset provided by Budget Collector, which they access through Airtable API in Python. The KMeans clustering algorithm from the sklearn library is used to find clusters of
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.