The number of vertices of the $200$ models ranges from $95K$ to $107K$.

-   the *Artifacts* dataset is derived from the laser scans of CH artifacts stored in the STARC repository [@Starck07] and selected as test-beds in the Gravitate EU project [@GRAVITATE_prog]. The colorimetric information comes as a RGB value associated to each mesh vertex. Differently from the CPP dataset, this second dataset contains full-color information, with a predominance of red, yellow and brown nuances. From these fragments we identified 10 classes of different patterns (see Figure \[fig:GRAV\_col\]); then, for each type of pattern, we tailored 4 representative patches coming from different fragments, for a total of 40 patches. Every patch is made of approximately $40K$ vertices.

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                                                                        Class 1                                                                                                                                     Class 2                                                                                                                                       Class 3                                                                                                                                      Class 4                                                                                                                                     Class 5
       ![Representatives of the 10 classes considered in the Artifacts dataset.[]{data-label="fig:GRAV_col"}](pic/cptI.png "fig:"){width="2cm"}    ![Representatives of the 10 classes considered in the Artifacts dataset.[]{data-label="fig:GRAV_col"}](pic/cptII.png "fig:"){width="2cm"}    ![Representatives of the 10 classes considered in the Artifacts dataset.[]{data-label="fig:GRAV_col"}](pic/cptIII.png "fig:"){width="2cm"}    ![Representatives of the 10 classes considered in the Artifacts dataset.[]{data-label="fig:GRAV_col"}](pic/cptIV.png "fig:"){width="2cm"}   ![Representatives of the 10 classes considered in the Artifacts dataset.[]{data-label="fig:GRAV_col"}](pic/cptV.png "fig:"){width="2cm"}
                                                                        Class 6                                                                                                                                     Class 7                                                                                                                                       Class 8                                                                                                                                      Class 9                                                                                                                                    Class 10
       ![Representatives of the 