Abstract: A method of generating labeled training images for a machine learning system includes providing a set of labeled images, each of the labeled images in the set of labeled images depicting an instance of a type of object and comprising a label identifying the type of object, providing an unlabeled image including an instance of the object, generating bounding box coordinates for one or more bounding boxes around the instance of the object in the unlabeled image using the labeled images in the set of labeled images as templates, consolidating the one or more bounding boxes into a consolidated bounding box around the instance of the object in the unlabeled image, and labeling the consolidated bounding box according to the type of object to generate a labeled output image including bounding box coordinates of the consolidated bounding box.