I’m new to image classification and ML and this is going to be my first project on those topics. I’m considering using VGG16 because I saw some studies showing that it has a generally great accuracy score (80-95%) but I’m worried that the model might not be fast enough or the app file size might get massive if I want the app to be usable without internet connection.
What do you guys think?
Look at tflight model maker. It will walk you through everything you need to make a light weight mobile friendly image classifier.
https://www.tensorflow.org/lite/models/modify/model_maker/image_classification