I have 500-1000 labelled street level photos from which I need to train a model to guess the country. Most photos are of well known areas/landmarks, and I can assume the unseen photos will be similar. Nevertheless, unseen photos will probably have unseen areas/landmarks within them.

Apart from the standard approach of doing transfer learning on pre-trained ImageNet models, what might be some more problem-specific approaches I could take here?

Googleable terms or links to papers would be very much appreciated.


Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Browse other questions tagged or ask your own question.