Open Source Data Labeling | Label Studio

A flexible data labeling tool for all data types. Prepare training data for computer vision, natural language processing, speech, voice, and video models.

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Open Source Data Labeling | Label Studio

Introduction

What is Label Studio?

Label Studio is an open-source data labeling platform that provides access to a vast array of data labeling tools for various needs, including computer vision, audio and speech applications, NLP, documents, chatbots, transcripts, robots, sensors, IoT devices, and multi-domain applications.

Features of Label Studio

  • Collect and label various data types, including images, audio, text, time series, and video
  • Supports multiple data labeling tasks, such as image classification, object detection, semantic segmentation, audio classification, speaker diarization, emotion recognition, and more
  • Offers a flexible and configurable platform with customizable layouts and templates
  • Integrates with ML/AI pipelines through webhooks, Python SDK, and API
  • Supports ML-assisted labeling with ML backend integration
  • Connects to cloud object storage and labels data directly with S3 and GCP
  • Allows exploring and understanding data in the Data Manager using advanced filters
  • Supports multiple projects and users in one platform

How to Use Label Studio?

  • Install Label Studio using pip, brew, or git
  • Launch the platform and start labeling data
  • Use the platform's features, such as customizable templates and ML-assisted labeling, to streamline the data labeling process
  • Integrate Label Studio with your ML/AI pipeline to automate the data labeling process

Pricing of Label Studio

  • Community Edition: free and open-source
  • Enterprise: custom pricing for enterprise-level support and features

Helpful Tips for Using Label Studio

  • Start with the Quick Start guide to get familiar with the platform
  • Explore the documentation and API & SDK Reference for more advanced features
  • Join the community and participate in webinars to learn from other users and experts
  • Take advantage of the platform's flexibility and customizability to adapt to your specific data labeling needs

Frequently Asked Questions about Label Studio

  • What is Label Studio used for? Label Studio is used for data labeling and annotation for various AI and ML applications.
  • Is Label Studio free? The Community Edition of Label Studio is free and open-source, while the Enterprise Edition requires custom pricing.
  • Can I integrate Label Studio with my ML/AI pipeline? Yes, Label Studio supports integration with ML/AI pipelines through webhooks, Python SDK, and API.