A method and information storage media having instructions stored thereon for supervised Deep Learning (DL) systems to learn directly from unlabeled data without any user annotation. The annotation-free solutions incorporate a new learning module, the Localization, Synthesis and Teacher/Annotation Network (LSTN) module, which features a data synthesis and generation engine as well as a Teacher network for object detection and segmentation that feeds the processing loop with new annotated objects detected from images captured at the field. The first step in the LSTN module learns how to localize and segment the objects within a given image/scene following an unsupervised approach as no annotations about the objects' segmentation mask or bounding box are provided.