Encord Active is a toolkit for testing, validating, and evaluating machine learning models with a focus on data-centric AI workflows. It enables active learning by helping users identify the most valuable samples for labeling and detecting label errors. The toolkit supports computer vision tasks including object detection, and provides data quality assessment, noisy label detection, and model quality monitoring capabilities.