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Label Studio enables you to build ground truth datasets,
with the focus on quality, security and team collaboration
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Design your own interface with our easy to use HTML-like tags. Customize your interface based on your use case, data types, or labeling process.
Love the interface you created? Save the configuration as a template that can be used on any project.
From task sampling rules and matching functions to defining whether annotator’s can submit empty annotations or edit their history - you control how Label Studio works for you and your annotation team.
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Label Studio is a powerful collaborative data labeling solution for your entire team. However, not everyone on your team needs (or should have) access to all of that power.
Role-Based Access Controls (RBAC) ensure your team members have the access they need to do their job and nothing more.
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Label Studio Workspaces makes it easy to organize projects and manage your teams.
Create teams of annotators, data scientists, domain experts, and managers that work together on collaborative labeling projects.
Data labeling is a team sport. Data scientists, subject matter experts, engineers, operations, and annotators must work collaboratively to ensure quality results and an efficient process.
Schedule Product DemoLabel Studio delivers a host of capabilities to setup, manage, execute, and monitor your collaborative data labeling projects.
You can define rules and criteria for automatic assignment or manually assign tasks to annotators.
Annotators access and complete their labeling tasks in the Labeling Stream.
Managers, domain experts, and data scientists use Label Studio Data Manager to monitor, review, and verify annotations.
Ensuring label accuracy prior to model training isn’t as easy as it sounds, especially at scale.
Label Studio provides the metrics and reports you need to monitor label quality for an entire project, diagnose problematic samples, and to take corrective action.
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Connect your favourite data sources in two clicks.
No technical support needed.
Label Studio integrates directly with your cloud storage to automatically create and assign new labeling tasks when new samples are added to your cloud storage.
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Integrate your machine learning backend with Label Studio to:
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Label Studio can both import labeling tasks from your machine learning model and export label rests from Label Studio to your machine learning model. Label Studio Import and Export support the following formats: COCO, Pascal VOC, CoNLL, CSV/TSV, and JSON_MIN.
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The Label Studio interface leverages a set of REST APIs to populate the screens and execute various functionality. These same REST APIs are available for you to integrate into your own applications and workflows.
Data security is one of your top priorities. We get that. That’s why we designed Label Studio to work with your data stored on your servers or cloud storage. We only store the URLs to your data and load the details directly from your storage into the Label Studio interface.
Data labeling is a team sport. Data scientists, subject matter experts, engineers, operations, and annotators must work collaboratively to ensure quality results and an efficient process.
Schedule Product Demo