AnnotateCollaborate in real-time across internal and external teams
Labelbox’s built-in collaboration capabilities ensure both internal and external teams stay aligned on shared projects. Custom workflows provide structure to complex projects and built-in features like issue reporting, sharing, comments, and notes foster clear communication and collaboration.
Custom workflows support projects of any size
As you work with large, complex projects, having to review all labeled data rows becomes increasingly time-consuming and expensive. You can leverage workflows to create a highly-customizable, step-by-step review pipeline to drive efficiency and automation into your review process.
Intuitive design makes labeling accessible to anyone
A highly intuitive platform design empowers any team member to contribute without being an ML and AI expert. AI and ML teams can use workflows, model-assisted labeling, active learning, and advanced data selection methods to iterate faster and improve model performance.
Built-in comments foster quick feedback and training
The issues and comments feature allows you and your team members to communicate ideas, point out labeling errors, and raise questions on specific assets directly in the labeling interface. Issues and comments operate at the project level, not the organizational level, for granular collaboration.