Retrain image classifier using MobileNet v2
I do not see any overfitting there. Overfitting is when your validation loss becomes worse with time, while training loss improves. Just because your training error is less than the validation (which is expected) does not mean it overfits. 

But you can try to freeze the first layers (up to the fully connected one) to ensure the network does not lose generalization.