So far when I’ve run through the Fastbook examples, it’s applying a trained model to a single image to give the probability of whether it recognises something is present.
Suppose I want to run consecutive images e.g. a series of aerial photographs. Is this something that Deep Learning can be applied to?
Presumably I would be left with a series of probabilistic outcomes for each photograph?
If I have lots of consecutive images for a region then how would I go about explaining/visualising the data for each location?
Grateful if somebody would be willing to clarify as it is something that I am thinking through.