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Opencv training, difference between one image and set of image.

Hi all, I have create a road signal classifier using four signal (Stop, turn left, turn right and roundabout), i create the .vec file using one image for every road signal (one for stop, one for left ecc.) with opencv_createsamples, and with the file i training the classifier. I use the .xml file in one app for detect and track the signal with android but i have a problem, the classifier do 14 (at last) stage and never reach 20, and when i try to detect a photo of one (i have take the photo around) of this the classifier don't detect it. The question is: Is it better create a classifier with one image (With createsamples) or do a lot of a photo object? why the classifier does not work with real photos? Thanks for help!