What is Label Studio
Label Studio is an open-source data labeling platform designed to fine-tune large language models (LLMs), prepare training data, or validate AI models. It offers a flexible and configurable environment for labeling various types of data, including images, audio, text, time series, and more.
Features of Label Studio
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Versatile Data Types: Supports labeling for images, audio, text, time series, multi-domain, and video data.
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Customizable Templates: Configurable layouts and templates adapt to your dataset and workflow.
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ML-assisted Labeling: Save time by using predictions to assist your labeling process with ML backend integration.
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Cloud Storage Integration: Connect to cloud object storage like S3 and GCP for direct data labeling.
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Multiple Projects and Users: Supports multiple projects, use cases, and data types in one platform.
How to use Label Studio
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Installation: Choose your preferred method (PIP, Brew, Git, Docker) to install Label Studio.
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Launch: Follow the provided commands to launch the Label Studio application.
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Import Data: Use the import feature to bring in your dataset.
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Label Data: Start labeling your data using the customizable templates and features.
Pricing of Label Studio
Label Studio is available as a free, open-source community edition. For enterprise features and support, pricing details can be found on their official website.
Useful tips for using Label Studio
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Explore Data Manager: Use the Data Manager to prepare and manage your dataset using advanced filters.
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Integrate with ML/AI Pipeline: Utilize Webhooks, Python SDK, and API for seamless integration with your ML/AI pipeline.
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Join the Community: Engage with the global community of Data Scientists for support and collaboration.
Frequently asked questions about Label Studio
What data types can I label with Label Studio?
Label Studio supports a wide range of data types including images, audio, text, time series, multi-domain, and video data.
Is Label Studio free to use?
Yes, Label Studio offers a free, open-source community edition. Enterprise features and support are available for a fee.
How can I integrate Label Studio with my ML/AI pipeline?
Label Studio provides Webhooks, Python SDK, and API for seamless integration with your ML/AI pipeline, allowing you to authenticate, create projects, import tasks, manage model predictions, and more.
Can I connect Label Studio to cloud storage?
Yes, Label Studio supports connecting to cloud object storage like S3 and GCP, enabling you to label data directly from these sources.