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Here’s what’s new and how to upgrade. Get started with label studio by creating projects to label and annotate data for machine learning and data science models. Get started with label studio by creating projects to label and annotate data for machine learning and data science models.
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Documentation for starting label studio and configuring the environment to use label studio with your machine learning or data science project. Label and annotate your data with the open source data labeling tool, label studio. Configure the labels and task type for annotators using the templates included with label studio or by defining your own combination of tags to set up the labeling interface for your project.
Getting started with label studio.
After you set up your project and labeling interface and import your data, you can start labeling and annotating your data. Tip for a quickstart tutorial that includes demo data, see zero to one: Install and upgrade label studio with docker, pip, and anaconda for your machine learning and data science projects. We’ve released label studio sdk 2.0.0, bringing expanded project settings, new enterprise endpoints, and improved documentation.
Compare the features of label studio community edition with the paid versions so that you can choose the best option for your data labeling and annotation projects.
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The Truth About Pippa Middleton And James Matthews' Marriage
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