I am using the Trainable Weka segmentation plugin to classify soil cover types. I am very new to segmentation but I read the documentation for the plugin.
I have a great variability in my images and so I would like to train my classifier on many images rather than 1.
So I tried to first train my classifier on 1 image and to save it. Then I open another image, load the classifier. First I want to visualize if the classifier is good enough for this image by visualizing the segmentation (as in “toggle overlay”). If the classes look ok, I would just go to the next image. If not, I would continue training the classifier by adding new traces from this images.
However, when I load the classifier, the classes are empty. So I wonder whether the new traces (from the new image) I give erase the previous ones (from the first) or are added to the classifier ?