Abstract: An artificial intelligence (AI) system may be configured to efficiently annotate most if not all unlabeled image data. Some embodiments may: provide, to an object-detection, machine-learning (ML) model, a plurality of unlabeled data such that the object-detection model predicts a plurality of regions; correct at least one vertex of bounds of at least one of the regions such that the bounds fit tighter around an object; convert the regions to first subregions by cropping the first subregions from the unlabeled data; and provide the first subregions to an embedding, ML model configured to output feature vectors for each of the first subregions.