Shaping the aesthetical landscape by using Image statistics measures

In this research, we offer data that contribute to the understanding of the aesthetic organization of such a space. • This aesthetic investigation through the analysis of the 11 developed metrics sheds light on the internal organization of the aesthetic space.

The results of this investigation contribute to the evaluation of broad regions of such space where elements of low, medium, and high aesthetic value reside • The data provided can be used to implement automated aesthetic evaluation systems in both artistic and manufacturing contexts. We provide five data sets: (a) triangles made by artists; (b) the distribution of triangles as a function of 11 aesthetic metrics (55 images), provided as a 3D application visualizing data as a catalogue; c) the plots of the calculated Smooth Kernel Distribution, on two dimensions (55 images); d) the 3d plots of the Smooth Kernel Distribution calculated in 3 dimensions (110 images); e) aesthetical values for the 83 triangles for all the 11 metrics developed.