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Label Studio

★4.4
💬17878
💲Freemium

Label Studio is a versatile, open source data labeling tool that supports various data types and integrates with machine learning pipelines. It offers flexible layouts, templates, and cloud storage connections, making it suitable for fine-tuning AI models and preparing training data.

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Platform
web
Artificial intelligenceAudio processingComputer visionData labelingLLM Fine-TuningMachine learningNLP

What is Label Studio?

Label Studio is an open source data labeling tool designed for various data types and machine learning integration. It supports multiple projects, users, and data formats, enabling users to label data efficiently and integrate with ML/AI pipelines. This tool is ideal for fine-tuning large language models, preparing training data, and validating AI models.

Core Technologies

  • Open Source
  • Machine Learning
  • Artificial Intelligence
  • Data Labeling

Key Capabilities

  • Support for multiple data types
  • Configurable layouts and templates
  • Integration with ML/AI pipelines
  • ML-assisted labeling
  • Connection to cloud storage
  • Data Manager with advanced filters
  • Multiple projects and users support

Use Cases

  • Computer Vision: Image classification, object detection
  • Audio & Speech: Classification, speaker diarization
  • NLP: Classification, named entity recognition
  • Robots, Sensors, IoT: Classification, segmentation
  • Multi-Domain: Dialogue processing, OCR
  • Video: Classification, object tracking
  • GenAI: LLM Fine-Tuning, RAG Evaluation

Core Benefits

  • Flexible and configurable
  • Integrates with ML/AI pipelines
  • Supports multiple data types
  • ML-assisted labeling saves time
  • Connects to cloud storage
  • Supports multiple projects and users
  • Open Source

Key Features

  • Support for images, audio, text, video, time series
  • Configurable layouts and templates
  • Integration with ML/AI pipelines via Webhooks, Python SDK, and API
  • ML-assisted labeling
  • Connection to cloud storage (S3, GCP)
  • Data Manager with advanced filters
  • Multiple projects and users support

How to Use

  1. 1
    Install Label Studio via PIP, Brew, Git, or Docker.
  2. 2
    Launch the tool and import your data.
  3. 3
    Create projects and define labeling tasks.
  4. 4
    Use customizable tags and templates for labeling.
  5. 5
    Integrate with ML/AI pipelines for automated workflows.

Pricing Plans

Community Edition

Free to use

Enterprise

Contact sales for pricing

Frequently Asked Questions

Q.What data types does Label Studio support?

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

Q.How can I integrate Label Studio with my ML/AI pipeline?

A.Label Studio provides Webhooks, a Python SDK, and an API to authenticate, create projects, import tasks, manage model predictions, and more.

Q.Is Label Studio open source?

A.Yes, Label Studio is an open source data labeling tool.

Q.What is Label Studio Enterprise?

A.Label Studio Enterprise offers additional features for evaluations, team management, security, and analytics. Contact sales for pricing.

Pros & Cons (Reserved)

✓ Pros

  • Flexible and configurable
  • Integrates with ML/AI pipelines
  • Supports multiple data types
  • ML-assisted labeling saves time
  • Connects to cloud storage
  • Supports multiple projects and users
  • Open Source

✗ Cons

  • Requires technical setup and configuration
  • May require custom templates for specific use cases
  • Enterprise features require a paid license

Alternatives

No alternatives found.