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.
View MoreHow to Use Label Studio
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.
Label Studio Monthly Traffic Trends
Label Studio achieved 168,605 visits with a 35.3% growth in December. The user-friendly interface and multi-type annotation capabilities likely contributed to this increase, as these features make the tool accessible and versatile for various AI projects. The growing importance of sustainable and interactive label design trends in 2024 may also have attracted more users to the platform.
View history traffic
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