Label Studio: Versatile Open-Source Tool for Data Labeling & Training

What is Label Studio?

Label Studio is a versatile open-source data annotation tool used for preparing training datasets for various AI models, including those for computer vision, NLP, speech, and video. It supports a wide range of data types for labeling.

How to Use Label Studio?

Key Features of Label Studio

Flexible data annotation for various data types

Supports computer vision, NLP, speech, and video models

Customizable tags and annotation templates

Integration with ML/AI workflows via webhooks, Python SDK, and API

ML-assisted annotation with backend integration

Connectivity to cloud storage services (S3 and GCP)

Advanced data management features

Support for multiple projects and users

Trusted by a large community of data scientists

Label Studio Use Cases

Preparing training data for computer vision models

Preparing training data for NLP models

Preparing training data for speech and voice models

Preparing training data for video models

Classification of images, audio, text, and time series data

Object detection and tracking in images and videos

Semantic segmentation of images

Speaker diarization and emotion recognition in audio

Audio transcription

Document classification and named entity extraction

Question answering and sentiment analysis

Time series analysis and event recognition

Dialogue processing and optical character recognition

Multi-domain applications requiring various data annotations

• Label Studio Support Email & Customer Service Contact

  For more information, visit the contact us page.

• About Label Studio

  Label Studio is a product of HumanSignal, Inc. For more details, visit the about us page.

• Label Studio Pricing

  For pricing information, visit the pricing page.

• Label Studio on YouTube

  Watch tutorials and demos on the Label Studio YouTube channel.

• Label Studio on LinkedIn

  Connect with us on LinkedIn.

• Label Studio on Twitter

  Follow us on Twitter.

• Label Studio on GitHub

  Explore our code and contribute on GitHub.

Label Studio FAQ

What is Label Studio?

Label Studio is an open-source data annotation tool designed for preparing training datasets for various AI models, including those for computer vision, NLP, speech, and video.

How do I use Label Studio?

To use Label Studio, install it via pip, brew, or GitHub. Launch it using the installed package or Docker, import your data, select the data type and task, and start annotating with customizable tags and templates. Integrate it with your ML/AI pipeline and manage your dataset with advanced filters.

Can Label Studio handle different types of data?

Yes, Label Studio supports multiple data types, including images, audio, text, time series, and videos.

Is Label Studio compatible with my ML/AI pipeline?

Absolutely. Label Studio integrates seamlessly with ML/AI workflows using webhooks, Python SDK, and API for authentication, project management, and model predictions.

Does Label Studio offer ML-assisted annotation?

Yes, Label Studio provides ML-assisted annotation by utilizing backend integrations with ML models to streamline the annotation process.

Can I connect Label Studio to cloud storage?

Yes, Label Studio supports connectivity to cloud storage services like S3 and GCP.

Is Label Studio suitable for multi-project and multi-user environments?

Yes, Label Studio is designed to handle multiple projects and users within a single platform, making it ideal for diverse annotation needs.