> ## Documentation Index
> Fetch the complete documentation index at: https://docs.redbrickai.com/llms.txt
> Use this file to discover all available pages before exploring further.
# Overview
RedBrick AI has comprehensive features to help you record multiple annotations per image or conduct multi-reader studies.
There are two core use cases for multiple labeling on RedBrick AI:
1. [**Consensus, or multi-reader, single output:**](./consensus/) Have multiple labelers annotate a single task and record their *inter-annotator agreement scores,* i.e., measure the overlap between their annotations. The output of consensus is a single set of ground truth.
2. [**Task duplication, or multi-reader, multiple output:**](./task-duplication) Have multiple labelers annotate a single image and generate N unique ground truth records for a single image.
