SYSTEMS AND METHODS FOR GROUND TRUTH DATASET CURATION

摘要

Systems and methods of the present disclosure enable ground truth dataset creation using processing devices configured to receive at least one user profile of at least one user and user-generated labels for each sample of at least one sample, where the user-generated labels are associated with the at least one user profile. A most likely label for each sample is produced using a weighting of each user-generated label according to user attributes in each user profile associated with each user-generated label. Each most likely label is recorded for each sample in a ground-truth dataset associated with each sample to identify a ground truth of the at least one sample, and each most likely label and each sample is provided to a machine learning model to train the machine learning model according to a difference between a predicted label for each sample and each most likely label.