Label Studio is an open-source tool for labeling and annotating a variety of data types, including images, text, audio, and video. It supports various projects and users, offering flexible deployment options.
Label Studio is an open-source tool for labeling and annotating a variety of data types, including images, text, audio, and video. It supports various projects and users, offering flexible deployment options.
Label Studio is a robust open-source data labeling tool designed to handle various data types such as text, images, audio, and video. It enables data scientists and machine learning engineers to create high-quality training data. The platform offers interactive labeling, model evaluation, and the integration of popular ML models for pre-labeling tasks. Label Studio supports multi-user collaboration and provides both community and enterprise versions to suit different needs.
Who will use Label Studio?
Data Scientists
Machine Learning Engineers
Data Analysts
Academia and Researchers
AI Engineers
How to use the Label Studio?
Step1: Visit the official Label Studio website.
Step2: Download and install Label Studio.
Step3: Create a new project.
Step4: Import your data into the project.
Step5: Choose or create a labeling configuration.
Step6: Start labeling your data.
Step7: Review and export your labeled data.
Platform
web
mac
windows
linux
Label Studio's Core Features & Benefits
The Core Features of Label Studio
Supports multiple data types
Interactive labeling
Model evaluation integration
Multi-user collaboration
Flexible deployment options
The Benefits of Label Studio
Enhances data quality
Streamlines labeling workflows
Supports collaborative projects
Suitable for various industries
Open-source and flexible
Label Studio's Main Use Cases & Applications
Preparing training data for computer vision models
Natural language processing tasks
Speech and voice model training
Video data annotation
Educational research and projects
FAQs of Label Studio
What is Label Studio?
Label Studio is an open-source data labeling tool supporting various data types for creating high-quality training data.
How do I install Label Studio?
You can download and install Label Studio from the official website, following the setup instructions provided.
Is there an enterprise version of Label Studio?
Yes, Label Studio offers an enterprise version with additional features and support.
What data types does Label Studio support?
Label Studio supports text, images, audio, and video data types.
Can multiple users collaborate on Label Studio?
Yes, Label Studio supports multi-user collaboration for larger projects.
Does Label Studio integrate with machine learning models?
Yes, Label Studio integrates with popular ML models for pre-labeling tasks and model evaluation.
Is Label Studio free?
Label Studio is free and open source, but it also offers an enterprise version with additional features.
How do I create a new project in Label Studio?
After installing Label Studio, you can create a new project through the project setup interface by importing your data and configuring the labeling settings.
What are the system requirements for Label Studio?
Label Studio supports web, mac, windows, and linux platforms.
Where can I find support for Label Studio?
Support is available through the official website, community forums, and documentation.