Annotation Guidelines

Annotation guidelines are clear instructions given to individuals who label or mark up data, such as text or images, for use in machine learning. These guidelines specify exactly what to highlight, how to categorize, or what details to record, ensuring consistency and accuracy across annotations. Essentially, they serve as a standardized blueprint so that everyone's annotations are aligned, making the data more reliable for training algorithms. Good guidelines clarify definitions, examples, and procedures, helping annotators understand their task and produce high-quality, uniform data for developing smarter AI systems.