1. A method comprising: obtaining multiple images, each known to photographically depict a “rain” or a “no rain” condition; training, by an artificial neural network, on the multiple images; analyzing, by the artificial neural network after the training, a plurality of consecutive images captured by a first camera; classifying, by the artificial neural network based on the analyzing, each image of the plurality of consecutive images as being in “rain” or “no rain” weather; (a) determining that a major portion of the plurality of consecutive images have been classified as in “rain” weather; and in response to (a), modifying operation of the vehicle.