Supervise

Manage your data, labels, and annotators all in one place.

Improve efficiency and lower your total cost of ownership by unifying your labeling resources with a single platform.

Improve data quality with automated reviewer workflows

Ensure your training and fine-tuning data delivers optimal model results with highly customizable reviewer workflows that put the right data in front of the right annotators—at just the right time.

Identify and resolve problematic items quickly using the smart annotator agreement matrix.
Configure reviewer workflows by model confidence score to enable human-in-the-loop review of annotations that a machine learning model was less certain about.
NEW! Automatically bring in additional annotators to look over any tasks with low agreement

Collaborate on individual labeling tasks

Speed up the labeling process, increase annotation quality, and build more solid labeling and review processes with comments and notifications.

Comment on tasks to raise issues with subject matter experts and reviewers; see notifications in your workspace to respond.
Submit annotation drafts with comments before submitting final annotations that affect project statistics.
Sort tasks in the data manager by unresolved comments, the total number of comments, or specific comment authors.

Report on quality and performance

Monitor progress, throughput, and labeling effectiveness with performance dashboards.

Make informed decisions quickly to improve efficiency and effectiveness of data labeling projects.
Review tasks by annotator to assess individual performance or prioritize annotations with the most uncertainty among annotators.
View project-level highlights for lead times and other KPIs by user-defined time periods.
Drill into time series charts for specific work being performed for tasks, annotations, and reviews.
View label distribution for the top 30 labels in a project.

See how the HumanSignal platform can work at your organization.

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