Using our classifier with all features, we carried out 10 runs of a 10-fold crossvalidation on the training data and we obtained an accuracy (standard deviation) of 84.14 (0.06), 84.30 (0.14) and 84.28 (0.11) when using 10, 20 and 30 images, respectively.
no significant differences in accuracy were observed for different numbers of images.