| Functionality |
Community |
Enterprise |
| Data Management |
| View and manage datasets and tasks in a project through the Data Manager view. |
✔️ |
✔️ |
| Provide reference to data stored in your database, cloud storage buckets, or local storage and label it in the browser. |
✔️ |
✔️ |
| Export annotations as common formats like JSON, COCO, Pascal VOC and others. |
✔️ |
✔️ |
| Synchronize new and labeled data between projects and your external data storage. |
✔️ |
✔️ |
| Project Management |
| Projects to manage data labeling activities. |
✔️ |
✔️ |
| Templates to set up data labeling projects faster. |
✔️ |
✔️ |
| APIs for programmatically accessing Label Studio. |
✔️ |
✔️ |
| Dashboards for monitoring progress of projects and annotator performance statistics. |
❌ |
✔️ |
| Team collaboration features like comments and notifications on annotation tasks. |
❌ |
✔️ |
| Data Labeling Workflows |
| Label any data type from text, images, audio, time series data to multimodality. |
✔️ |
✔️ |
| Assign tasks to certain annotators or reviewers. |
❌ |
✔️ |
| Set rules and automate how tasks are distributed to annotators. |
❌ |
✔️ |
| Annotator-specific labeling view that only shows assigned tasks. |
❌ |
✔️ |
| Data Discovery (Beta) |
| Connect, manage, and index datasets from GCP, AWS, and Azure. |
❌ |
✔️ |
| Visualize and explore all your unstructured image or text data in a visual grid or list view. |
❌ |
✔️ |
| Automatically generate embeddings and reference embeddings to uncover similarities between data points and measure confidence levels. |
❌ |
✔️ |
| Find relevant data using natural language, such as one or more phrases or keywords. |
❌ |
✔️ |
| Uncover similar data points by selecting one or more records (data points) as reference. |
❌ |
✔️ |
| Sort your dataset based on similarity to your selections. |
❌ |
✔️ |
| Send data subsets as tasks to new or existing Label Studio Enterprise projects for human or AI processing (annotation or review). |
❌ |
✔️ |
| User Management |
| Role-based automated workflows for annotators and reviewers. |
❌ |
✔️ |
| Role-based access control into workspaces and projects. |
❌ |
✔️ |
| Machine Learning |
| Connect a machine learning model to the backend of a project. |
✔️ |
✔️ |
| Accelerate labeling with active learning loops. |
❌ |
✔️ |
| Automatically label and sort tasks by prediction score with the ML model backend. |
❌ |
✔️ |
| Analytics and Reporting |
| Project management dashboards displaying analytics and activity history. |
❌ |
✔️ |
| Activity logs for auditing annotation activity by project. |
❌ |
✔️ |
| APIs for generating custom reports across projects or labeling activity. |
✔️ |
✔️ |
| Annotator Performance |
| Annotator agreement metrics to monitor and improve label quality. |
❌ |
✔️ |
| Compare ML model predictions with annotations to identify low quality data. |
❌ |
✔️ |
| Assign reviewers to review, fix and update annotations. |
❌ |
✔️ |
| Security and Support |
| Secure access and authentication of users via SAML SSO or LDAP. |
❌ |
✔️ |
| SOC2-compliant hosted cloud service or on-premise availability |
❌ |
✔️ |
| Dedicated enterprise support team with service level agreements (SLAs). |
❌ |
✔️ |
| Managed Cloud Service |
| SOC2-certified cloud platform |
❌ |
✔️ |
| 99.9% uptime SLA |
❌ |
✔️ |
| Customer success & technical support SLA |
❌ |
✔️ |