Abstract: The increasing demand for large-scale training data in deep learning models has underscored the significance of efficient data annotation. However, manual labeling remains a time-consuming ...

This release introduces significant enhancements to data accuracy and infrastructure. Key updates include a comprehensive revision of the real GDP series and the deployment of a fully automated, cloud ...