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Open Source Data Labeling | Label Studio
Label Studio is an open source tool for labeling images, text, audio, and video, helping you prepare and validate training data for machine learning projects.
Label any data type for AI and ML projects
Label Studio is an open source platform designed to help you label and annotate different types of data, including images, text, audio, and video. Whether you're preparing training data for computer vision, natural language processing, or speech models, this tool gives you the flexibility to work with a wide range of data formats.
You can use Label Studio to fine-tune large language models, validate your AI models, or simply organize and prepare datasets for machine learning. The platform is highly customizable, offering templates, a playground for experimentation, and support for collaborative projects. With an active global community and plenty of learning resources, it’s a helpful solution for researchers, developers, and teams working on AI and data science projects.
If you want to streamline your data labeling workflow, experiment with different annotation setups, or just get started with machine learning data preparation, Label Studio provides the tools and flexibility you need—all in an open source package.
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