Abstract: The present disclosure provides a method for training a machine learning software component. In a computing system, a plurality of images and a plurality of location tuples are received. Each of the location tuples includes a subject identifier and a temporal identifier. For each of the location tuples, the subject identifier is associated with an image of the plurality of images using the temporal identifier to form a training data set. The machine learning software component is trained with the training data set.