> ## Documentation Index
> Fetch the complete documentation index at: https://docs.getjumper.io/llms.txt
> Use this file to discover all available pages before exploring further.

# People tab

> Learn about the People tab in Jumper

In the People tab, you can see a list of all your Face Collections and the people detected in each collection.

<img src="https://mintcdn.com/jumper/6H-1x4UQQQa2zrKw/images/face_detection_8.avif?fit=max&auto=format&n=6H-1x4UQQQa2zrKw&q=85&s=acbbf0f728d8a46746bc18705bee20a8" alt="face_detection_8.avif" width="1200" height="967" data-path="images/face_detection_8.avif" />

## Collections

This is a list of all your Face Collections. Click a collection to see the people detected in that collection.

You can use different collections for different projects or different parts of the same project.

Click the ellipsis button (<Icon icon="ellipsis-vertical" />) next to a collection name to access:

* **Reveal in Finder**: Opens the directory where all faces for that collection are stored
* **Regroup collection**: Regroups faces with different parameters. See [Regrouping faces](/guides/face-detection#regrouping-faces) for detailed instructions.

## People Grid

This is a grid of all the named and unnamed people detected in the selected collection. Each person is represented by two sample images and a name.

The grid is sorted by the number of faces detected for that person. The most prevalent people are shown at the top. The number of faces detected for each person equals roughly the number of seconds of footage that the person appears in.

<Info>
  Currently, only the most prevalent 50 people are shown in the grid. This will be improved in the future.
</Info>

**Interactions:**

* Click an item in the grid to preview all extracted faces for that person
* Click the name to assign or change the person's name
* Click the merge button (<Icon icon="merge" />) to merge groups. See [Merging groups](/guides/face-detection#merging-groups) for detailed instructions.

## Related

<Card title="How to use face detection" href="/guides/face-detection" arrow="true">
  Full guide to using face detection
</Card>
