# Guides & Exams Creating large and diverse computer vision datasets requires working with a huge labeling workforce. That, in turn, requires professional tools to educate and examine them. Why do we need **Labeling Guides** and **Labeling Exams**? Let's consider several important observations: * Usually, an annotator has concrete **domain specialization**: self-driving cars, agriculture, satellite imagery, medicine, and so on * Not every annotator **properly understands** labeling requirements, thus sometimes they make **systematic errors** during labeling * It is a good idea to choose for your custom task the most efficient and accurate labelers based on **Quality Score** * From labelers perspective, comprehensive annotation policy should be presented as **easy to learn guides and materials** * From time to time company changes annotation policy, all labelers have to be **notified and re-examined** **Labeling Guides** and [**Labeling Exams**](https://ecosystem.supervisely.com/apps/exams) in Supervisely are designed to handle all these aspects. ## Labeling Guides **Labeling Guides** are videos, documents and markdown posts. You can pin here your annotation policy, examples of good and bad labeling and so on. **Labeling Guides** can later be attached to Labeling Jobs and Exams.
## Labeling Exams We recommend using exams via the new [app in Ecosystem](https://ecosystem.supervisely.com/apps/exams). It has new features, improvements, and can be customized by request. Measure how labelers understand task. A manager sees the table with exams and their general information. The row can be expanded and the internal table with all labelers' attempts will be displayed. That table contains **Quality Scores** and links to **Exam Reports**.
This view allows to see the big picture and monitor the entire examination process. Also, it helps to dig into details and see how every labeler performs. ### Exam Report Detailed error analysis at your fingertips. There are several tables with **geometry score**, **objects count score** and **tags score** to calculate more complete **Quality Score**. Also, there is a report table for every image with a bunch of statistics and calculated visual differences.
### Notifications for managers and reviewers Notifications allow you to don't miss relevant information and stay informed of what's going on.