Label Studio Howto
Label Studio is a flexible open-source data labeling tool for annotating various data types including text, images, audio, video, and time series to prepare training data for machine learning and AI models.
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Install Label Studio: Install Label Studio using pip, brew, git clone, or Docker. For example, using pip: 'pip install -U label-studio'
Start Label Studio: Run 'label-studio' command to start Label Studio. It will be accessible at http://localhost:8080 by default
Create an account: Sign up with an email address and password when you first access Label Studio
Create a project: Click 'Create' to create a new labeling project. Give it a name and optional description
Import data: Click 'Data Import' and upload the data files you want to label
Set up labeling interface: Click 'Labeling Setup', choose a template or customize the labeling interface for your specific use case
Start labeling: Click 'Label All Tasks' to begin labeling your imported data
Export labeled data: When finished labeling, export the annotated data or annotations for use in your machine learning models
Label Studio FAQs
Label Studio is an open-source data labeling platform that allows users to label various types of data including images, audio, text, time series, and video for machine learning and data science projects. It provides a flexible and configurable interface for data annotation tasks.
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