The latest improvements to Label Studio Enterprise - Project Performance Dashboards - are designed to provide annotation team managers with the insights they need to more efficiently deliver labeled data to their data science teams so they can get ML/AI models into production faster. This new feature will make it easier than ever to track and optimize your data labeling projects.
Our new dashboards interface and key performance indicator cards provide a holistic view of your project's progress, while also offering granular insights into the status of tasks, annotations, reviews, and labels. This feature allows you to identify bottlenecks and outliers, enabling optimal resource allocation and time management.
With our adjustable KPI cards, you can decide which metrics you want to have front and center. Whether it's the average time taken to label a task or the number of remaining tasks in the project, our KPI carousel provides an easy way to track progress and trends over time.
Discover data quality issues with customizable charts and adjustable date ranges. Get insights into project performance data including frequently skipped tasks, review velocity, and label distributions over time, to identify and remedy issues with unbalanced datasets, annotator training, or resource allocation.
You can see a quick overview of the new Project Performance Dashboards in this video walkthrough:
We're committed to providing the tools and features you need to make your data labeling process as efficient and effective as possible. With these latest improvements to Label Studio Enterprise, we're confident that your data labeling teams will be able to achieve new levels of productivity and success. To get more detail on this feature, check out the docs. If you’d like to learn more about Label Studio Enterprise or get a demo of this new feature, one of our experts would be happy to chat with you.
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