GitFounders
Label Studio is an open source multi-type data labeling and annotation tool that empowers users to create high-quality training datasets and evaluate AI models. It supports various data types including text, images, audio, video, and time series, making it an ideal solution for fine-tuning and validating machine learning models.
About Label Studio
Label Studio simplifies the process of annotating diverse datasets with a flexible, configurable interface that adapts to your workflow. The platform integrates ML-assisted labeling, auto-task distribution, and comprehensive API/SDK support, enabling seamless integration with your ML pipelines. It caters to both self-hosted open source enthusiasts and teams looking for managed cloud solutions.
Key Features
- Supports multi-modal labeling (text, image, audio, video, time series)
- Configurable layouts and templates for diverse use cases
- ML-assisted labeling and auto-labeling integration
- Seamless integration with cloud storage, APIs, and webhooks
- Role-based access control and compliance features for enterprise needs
Pricing
A free open source edition ideal for users who wish to install and manage the tool on their own infrastructure.
- ✓Full admin-level access
- ✓Community support via Slack and forums
- ✓Self-hosted deployment
- ✓Multi-modal labeling capabilities
Optimized for small teams and projects with a managed cloud deployment.
- ✓Additional users at $49/month (up to 8 users)
- ✓Dedicated support portal
- ✓Fully managed cloud service
- ✓Includes all features of the Community Edition
Tailored solutions for large organizations requiring high quality data workflows and advanced enterprise features.
- ✓Enhanced security and compliance
- ✓Single Sign-On (SSO) integration
- ✓Advanced analytics and reporting
- ✓Dedicated customer success management
Summary
Label Studio delivers a robust ecosystem for data annotation across diverse data types, streamlining the creation and management of high-quality datasets. Its open source foundation and cloud offerings empower teams to efficiently integrate advanced labeling workflows into their AI models.
