Machine Learning Based Distraction Classification in Images

A method includes receiving training data comprising a plurality of images. one or more identified objects in each of the plurality of images. and a detection score associated with each of the one or more identified objects. wherein the detection score for an object is indicative of a degree to which a portion of an image corresponds to the object. The method also includes training a neural network based on the training data to predict a distractor score for at least one object of the one or more identified objects in an input image, wherein the at least one object is selected based on an associated detection score, and wherein the distractor score for the at least one object is indicative of a perceived visual distraction caused by a presence of the at least one object in the input image. The method additionally includes outputting the trained neural network.