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Label Studio is an open source data labeling tool that supports multiple projects, users and data types in one platform. Label Studio can perform different types of labeling with many data formats and integrate with M/L backends.
Key Features of Label Studio
Discover the powerful features of Label Studio that make it the ideal choice for your data labeling needs.
Flexible and Configurable
Label Studio offers configurable layouts and templates that adapt seamlessly to your dataset and workflow requirements.
Integration with ML/AI Pipeline
Easily integrate with your machine learning and AI pipeline through webhooks, Python SDK, and API for project management and task imports.
ML-Assisted Labeling
Utilize machine learning predictions to enhance your labeling process, saving time and improving accuracy.
Cloud Storage Connectivity
Directly connect to cloud object storage such as S3 and GCP to label data efficiently in the cloud.
Data Management Tools
Prepare and manage your dataset using advanced filters within our Data Manager for better exploration and understanding of your data.
Support for Multiple Projects and Users
Manage multiple projects, use cases, and data types all within one platform, facilitating collaboration among users.
Frequently Asked Questions about Label Studio
Find answers to common questions about Label Studio's features, usage, and integration.
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