Top panels: confusion matrices comparing the performance of SAD-CNN version 1 (left) and version 3 (right) on an independent test set of inclined galaxy halos, not used during training. The normalised fractions rates are shown together with the total number of predictions in each quadrant (in parenthesis). The rows inside the matrix represent the true labels of the galaxies, meanwhile, the columns represent the predicted labels of the model. Bottom panels: false classification density maps (FP + FN) as a function of CNN output value and surface brightness (${\mu }_{lim}^r$). Each panel is normalised by the total number of false cases in V-1. The red dashed line marks the decision threshold at 0.5. The total number of false cases (FC_tot) is indicated in red in each panel. In V-1 was FC_tot = 465 used to normalise the distributions, and the V-3 present FC_tot = 218. This version shows a clear reduction in the number of false positives, especially in the surface brightness range ${\mu }_{lim}^r$ ~ 28-30 mag arcsec⁻², showing an improvement in performance compared to its predecessor.