Label Studio

Label Studio is a flexible data labeling tool that can handle a variety of data types, including images, audio, text, time series and video. It can be used to prepare training data for computer vision, natural language processing, speech, voice and video models. Label Studio can handle multiple projects, users and data types in one interface.

Label Studio includes a number of features to make data labeling easier:

• Configurable Layouts and Templates: Customize your dataset and workflow with customizable layouts and templates.
• ML-assisted Labeling: Leverage model predictions to help your labeling process, saving time and effort.
• Cloud Storage Integration: Connect to cloud object storage and label data directly with S3 and GCP.
• Data Manager: Filter your dataset with advanced filters.
• Multi-Project and User Support: Support multiple projects and users in one interface.
• Webhooks, Python SDK, and API: Integrate with your ML/AI pipeline for authentication, project creation, and task management.

Label Studio can be installed using pip (pip install -U label-studio) or via Docker (docker run -it -p 8080:8080 -v pwd/mydata:/label-studio/data heartexlabs/label-studio:latest). You can get started by running Label Studio after installation or by cloning the repository and setting up the environment manually.

The tool is open-source and free to use, though an enterprise version adds features like better security, team management and support SLAs. Community support is also available through a blog, newsletter, Slack channel and webinars.

Label Studio is used by data scientists and companies of all sizes, with millions of data items labeled and more than 11,000 Slack members. It's used by small and large organizations.

If you want to fine-tune your LLMs, prepare training data or validate your AI models, Label Studio is a flexible and configurable tool for all your data types.

Published on June 14, 2024