Best Data Labeling Strategies
The best data labeling strategies focus on accuracy, consistency, and efficiency to enhance the performance of machine learning models. One key strategy is to clearly define labeling guidelines to ensure annotators follow consistent criteria. Using domain experts for complex labels can significantly improve precision. Employing a combination of manual labeling and automated tools, such as active learning, helps balance efficiency with quality. Read more: https://objectways.com/data-labeling