The `cleanlab` package has been updated to version 2.5, adding support for regression tasks and improving its capabilities across various machine learning (ML) tasks. The new release includes features such as label error detection for object detection and image segmentation, automatic data quality improvement, and enhanced datalab functionality. Additionally, the package now supports `Cleanlab Studio`, a no-code platform that automates many steps in turning raw data into reliable ML models. With these updates, `cleanlab` has become one of the most comprehensive packages for data-centric AI, supporting multiple ML tasks and providing tools for improving data quality and model robustness.