A METHOD, APPARATUS, AND COMPUTER-READABLE MEDIUM FOR CORRECTING GROUND TRUTH LABELS IN TRAINING DATASETS
Applicants
AUMOVIO Germany GmbH
Inventors
Kassem Sbeyti, Moussa, Nowzad, Azarm, Wirth, Christian
Abstract
Embodiments of the present disclosure relate to a method for correcting ground truth labels used in training a machine learning model for a computer vision task. A training method and ground truth labels used for training a machine learning model are also disclosed. A machine learning model, a computer program, a computer-readable data carrier and an apparatus are also presented. The method for correcting ground truth labels comprises obtaining sample images and ground truth labels for the sample images, training the machine learning model using the sample images and the ground truth labels, modifying the sample images, obtaining, by the machine learning model, predicted labels for the modified sample images, and correcting the ground truth labels based on a comparison of the ground truth labels with the predicted labels.
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