I am trying to create a model that is using a one-shot learning approach for a classification task. We do this because we do not have a lot of data and it also seems like a good way to learn this approach (it is going to be a university project). The task would be to classify objects, probably from drone/satellite image (of course zoomed one).
My question is, do you think it would be ok to use a model for face recognition, such as DeepFace or OpenFace, and, using transfer learning, retrain it on my classes?
