Model-assisted labeling

A process in machine learning and data annotation where human annotators label data with the assistance of pre-trained machine learning models. Instead of relying solely on manual annotation, which can be time-consuming and expensive, model-assisted labeling leverages the predictions of machine learning models to accelerate the annotation process, letting labeling teams focus time on refining, accepting, or rejecting model predictions rather than starting from scratch with each label.