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Label Studio

Open source platform for data labeling across diverse data types with machine learning integration.

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About Label Studio

Label Studio is an open source data annotation platform supporting multiple data types and project collaboration. It enables flexible labeling workflows, integrates seamlessly with machine learning backends, and is ideal for training, validating, and fine-tuning AI models across various domains.

How to Use

Install Label Studio via pip, Homebrew, Git, or Docker. Launch the application, import your data, create customizable projects, and start labeling with flexible templates and tags.

Features

Advanced data management with filtering options

Supports cloud storage integrations like S3 and GCP

Customizable layouts and annotation templates

Supports multiple teams and user roles

Seamless integration with machine learning pipelines through Webhooks, SDKs, and APIs

AI-assisted labeling to accelerate annotation

Handles images, audio, text, video, and time series data

Use Cases

Computer Vision: Image classification, object detection, semantic segmentation

Audio & Speech: Classification, speaker diarization, emotion detection, transcription

Video Annotation: Classification, object tracking, assisted labeling

IoT and Sensors: Event detection, segmentation, classification

Multi-Domain Applications: Dialogue analysis, optical character recognition, time series annotation

Artificial Intelligence: Fine-tuning LLMs, model evaluation, retrieval-augmented generation

NLP and Document Analysis: Named entity recognition, sentiment analysis, question answering

Best For

Data scientistsAI researchersAnnotation teamsMachine learning engineersData analystsAI developers

Pros

Supports diverse data formats including images, audio, and video

Enables collaboration with multiple projects and users

Highly customizable and flexible interface

Integrates smoothly with machine learning workflows

AI-assisted labeling reduces manual effort

Connects easily to cloud storage solutions

Open source platform with community support

Cons

Enterprise features require a paid license

Setup may need technical expertise

Custom templates may be necessary for complex projects

Pricing Plans

Choose the perfect plan for your needs. All plans include 24/7 support and regular updates.

Community Edition

Free

Open source and free to use

Get Started

Enterprise

Contact sales for pricing

Additional enterprise features and support available

Get Started

Frequently Asked Questions

Find answers to common questions about Label Studio

What types of data can I label with Label Studio?

Label Studio supports images, audio, text, video, time series, and multi-domain data.

How does Label Studio integrate with machine learning pipelines?

It offers Webhooks, a Python SDK, and APIs to manage projects, import tasks, and connect with ML models.

Is Label Studio an open source tool?

Yes, it is an open source platform for data labeling and annotation.

What are the advantages of Label Studio Enterprise?

It provides additional features for team management, security, evaluation, and analytics. Contact sales for details.

Can I use Label Studio for collaborative labeling projects?

Absolutely, it supports multiple users and teamwork for efficient data annotation.