I have a large dataset of skin images, each one associated with a hydration value (percentage).
Now I'm looking into predicting the hydration value from an image. My thinking: train a CNN on the dataset and evaluate the model with a mean square error regression.
First, does this sound like a sensible way to try this?
Second, I'd like to run the model on mobile. Can you recommend any examples with Caffe2 (or alternatively TensorFlow) or diagrams that might explain a similar task?