# Guides

Source: https://www.potatoannotator.com/docs/guides/overview

These are explainers rather than reference pages. Each one answers a question about annotation practice that is not specific to any tool, then uses Potato as the worked example.

They fall into a few groups. The first cover decisions you make before any data is labelled: what to annotate, how to write guidelines, what shape the data should be in. A larger group covers particular kinds of annotation, from named entities and coreference through audio, video, image segmentation and 3D point clouds. A third covers measurement: agreement, adjudication, sample size, and what to do when annotators disagree. The rest cover evaluating LLM and agent output, and running a study with paid annotators.

If you are new to annotation, start with [What Is Data Annotation?](/docs/guides/what-is-data-annotation). If you have annotations already and need to report on their quality, start with [Inter-Annotator Agreement Explained](/docs/guides/inter-annotator-agreement).