No! The number of classes should always be adapted to the research question. In general, it is better to stick to a relatively small number of classes that can still adequately portray the research question. Instead, focus on a high quality of training samples per class. This way, the finished product will not be chaotic or confusing at first sight and probably more accurate as well.