In the course of “Machine Learning and Intelligent System” held at EURECOM, as mandatory course project, along with my colleague Luca Parrini, I worked on a machine learning algorithm that applies some basic machine learning techniques to the features extracted from a series of paintings coming from the Wikiart datasets.
Although the results did not reach state of the art, with an accuracy that was quite variable and greatly depended on the choice of considered style, it is still quite an interesting project since it only uses handcrafted features and allows for a better understanding of the mechanics behind image processing, instead of relying on a “black-box” CNN.
The full description of our work can be found here.