Label Studio Learning Center
Learn the core concepts behind data labeling, machine learning workflows, computer vision, and human-in-the-loop AI. Explore in-depth articles and definitions designed to help you understand the building blocks of modern AI and machine learning systems.
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This guide is your starting point for understanding the people, tools, and processes behind high-quality data labeling. Whether you're new to the space or scaling a production pipeline, you’ll find practical insights on workflows, roles, QA strategies, and platform selection, all in one place.
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Explore how different data types, like text, images, audio, and video—shape machine learning workflows. This hub breaks down each modality and shows how to label them effectively using tools like Label Studio.
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A Guide to Machine Learning Tools
This hub breaks down categories, use cases, and selection strategies to help you scale smarter across the ML lifecycle.
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Open source AI is transforming how teams build, evaluate, and deploy intelligent systems. This hub covers the key tools, models, and strategies shaping the ecosystem today.
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Evaluations in AI Learning Hub
This hub explores the full spectrum of evaluation methods, from metrics to human-in-the-loop reviews and LLM-based scoring across multiple articles.