Orange Image Analysis - Famous Paintings

After performing the clustering technique on a simple image data set in the previous blog post , now let us do clustering on world-famous paintings. 

My data set includes images from world-famous artists such as Leonardo Da Vinci, Vincent van Gogh, Michelangelo, Édouard Manet, Claude Monet, Raphael and some famous paintings from Kandy. Let us use Orange to find any relations in these paintings.

It is the same configuration in Orange like last time as shown in the below Figure.

In this configuration, we will be using a different Embedder in Image Embedding. 

In this Embedder, we have used Painters. This is the model which is specially created for the Painters. 

In the Hierarchical Clustering, we can choose the different clusters from the height and let us see how these clusters were done. 

You will see that Kandy, Vincent Van Gogh paintings are clustered together. 

This is Vincent van Gogh cluster.

Though you will Monet's paintings in this cluster, it is closer to van Gogh's paintings. 

Following is the cluster for paintings in Kandy. 

Most of the clusters are well defined and you do not see more than two artists in any cluster. 

The following is the only cluster that can be considered as high error. 

In this cluster, you will see you have both Michelangelo's and Leonardo da Vinci paintings. However, I don't think you can blame orange on these clustering as these have similar paintings.