New Video Object Segmentation and Tracking for SAM 2

Compare Label Studio Editions

Label Studio is available to everyone as open source software (Label Studio Community Edition). There are also two paid editions: Starter Cloud and Enterprise.

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At-a-glance

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Feature comparison

Functionality Community Starter Cloud Enterprise
User Management
Role-based workflows
Role-based automated workflows for annotators and reviewers.
❌ Limited ✅
Role-based access control
Role-based access control into workspaces and projects: Admin, Manager, Reviewer, and Annotator.
❌ ✅ ✅
Customizable permissions
Fine-grained control over which roles can execute specific actions, such as inviting members, managing cloud storage, deleting tasks, and more.
❌ ❌ ✅
Data Management
Data management view
View and manage datasets and tasks in a project through the Data Manager view.
✅ ✅ ✅
Multiple data formats
Label any data type from text, images, audio, video, time series data to multimodality.
✅ ✅ ✅
Import data
Reference data stored in your database, cloud storage buckets, or local storage and label it in the browser.
✅ ✅ ✅
Advanced cloud storage integrations
Databricks Unity Catalog, IAM for AWS S3, Azure Blob Storage with Service Principal, and WIF for Google Cloud Storage connections.
❌ ❌ ✅
Import pre-annotated data
Import pre-annotated data (predictions) into Label Studio for further refinement and assessment.
✅ ✅ ✅
Export data
Export annotations as common formats like JSON, COCO, Pascal VOC and others.
✅ ✅ ✅
Sync data
Synchronize new and labeled data between projects and your external data storage.
✅ ✅ ✅
Chat
Generate and label conversation data. Interact live with an LLM of your choice.
❌ Limited ✅
Project Management
Organize data in projects
Projects to manage data labeling activities.
✅ ✅ ✅
Organize projects in workspaces
Organizes related projects by team, department, or product. Users can only access workspaces they associated with.
❌ ❌ ✅
Personal sandbox workspace
Personal sandbox workspace for project testing and experimentation.
❌ ✅ ✅
Templates
Templates to set up data labeling projects faster.
✅ ✅ ✅
AI assistant
Use an LLM trained by HumanSignal to help you create and refine templates.
❌ ✅ ✅
Project membership
Only users who are added as members to a project can view it.
❌ ✅ ✅
Project-level roles
Annotator and Reviewer can be assigned to Annotator/Reviewer roles at a per-project level.
❌ ✅ ✅
Project-level user settings
Multiple configuration options for how Annotators and Reviewers interact with tasks and what information they can see.
❌ Limited ✅
Data Labeling Workflows
Assign tasks
Assign tasks to certain annotators or reviewers.
❌ ✅ ✅
Automatically assign tasks
Set rules and automate how tasks are distributed to annotators.
❌ ✅ ✅
Simplified interface for Annotators
Annotator-specific labeling view that only shows assigned tasks.
❌ ✅ ✅
Bulk labeling
Classify data in batches.
❌ ❌ ✅
Customization & Development
Programmable & embeddable interfaces
Build fully customized labeling and evaluation interfaces with React. Embed into your own applications.
❌ ❌ ✅
Tag library
Use our tag library to customize the labeling interface by modifying pre-built templates or by building your own templates.
✅ ✅ ✅
White labeling
Use your company colors and logo to give your team a consistent experience. (Additional cost)
❌ ❌ ✅
Plugins
Use JavaScript to further enhance and customize your labeling interface.
❌ ❌ ✅
API/SDK & webhooks
APIs, SDK, and webhooks for programmatically accessing and managing Label Studio.
✅ ✅ ✅
Prompts
Automated pre-labeling
Rapidly pre-label tasks using LLMs.
❌ Limited Trial ✅
LLM fine-tuning and evaluation
Evaluate and fine-tune LLM prompts against a ground truth dataset.
❌ Limited Trial ✅
Run benchmarks
Compare model outputs against ground truth or rubric criteria.
❌ Limited Trial ✅
Machine Learning
Custom ML backends
Connect a machine learning model to the backend of a project.
✅ ✅ ✅
Active learning loops
Accelerate labeling with active learning loops.
❌ ❌ ✅
Predictions from connected models
Automatically label and sort tasks by prediction score with the ML model backend.
✅ ✅ ✅
Analytics and Reporting
Project dashboards
Dashboards for monitoring project progress.
❌ ❌ ✅
Annotator performance dashboards
Dashboards to review and monitor individual annotator performance.
❌ ❌ ✅
Activity logs
Activity logs for auditing annotation activity by project.
❌ ❌ ✅
Annotation history
View annotation history from the labeling interface.
❌ ✅ ✅
Quality Workflows
Assign reviewers
Assign reviewers to review, fix and update annotations.
❌ ✅ ✅
Automatic task reassignment
Reassign tasks with low agreement scores to new annotators.
❌ ❌ ✅
Agreement metrics
Define how annotator consensus is calculated using pre-defined agreement metrics.
❌ Limited ✅
Custom agreement metrics
Write your own custom agreement metric.
❌ ❌ ✅
Comments and notifications
Team collaboration features like comments and notifications on annotation tasks.
❌ ✅ ✅
Identify ground truths
Mark which annotations should be included in a Ground Truth dataset.
❌ ✅ ✅
Overlap configuration
Set how many annotators must label each sample.
❌ ✅ ✅
Pause annotators
Pause an individual annotator's progress manually or based on pre-defined behaviors.
❌ ❌ ✅
Annotation limits
Set a limit on how many annotations a user can submit within a project before their work is paused.
❌ ❌ ✅
Annotator consensus matrices
Matrices used to compare labeling results by different annotators.
❌ ❌ ✅
Label distribution charts
Identify possible problems with your dataset distribution, such as an unbalanced dataset.
❌ ❌ ✅
Security and Support
SSO
Secure access and authentication of users via SAML SSO or LDAP.
❌ ❌ ✅
SOC2
SOC2-compliant hosted cloud service or on-premise availability
❌ ❌ ✅
Support portal
Access to a dedicated support portal.
❌ ✅ ✅
Uptime SLA
99.9% uptime SLA
❌ ❌ ✅
Customer Success Manager
Dedicated customer success manager to support onboarding, education, and escalations.
❌ ❌ ✅
Designed for teams of all sizes Compare Versions