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

# Labellerr Grouping Tool Feature

> Discover Labellerr's grouping tool, which allows you to group labels for a single object into one unit, enhancing AI model understanding and improving annotation consistency.

Labellerr has introduced a **grouping tool feature** that enables grouping all labels for a single object into one unit. This helps the AI model better understand the relationship between different parts of an object.

### Steps to Implement the Grouping Tool

1. **Annotate** all parts of the object.
2. **Enable** the grouping icon button at the top.
3. **Draw an area** that covers all annotations of the object.
4. A **unique ID** will be automatically assigned to all parts of that object.

<Note>
  The ID can be changed if any part of the object is mistakenly grouped with another object.
</Note>

<iframe className="w-full aspect-video rounded-xl" src="https://www.youtube.com/embed/zaDNyKZcILc" title="[VIDEO_TITLE]" frameborder="0" allowfullscreen />

### How to Identify Incorrect IDs?

Labellerr has introduced a **Filter Annotations** icon in front of the annotated objects list.

1. **Apply the ‘Group’ filter** to check:
   * If any ID is missing from a group, it will appear under the **‘Ungrouped’** section.
   * The **‘Grouped’** section will show grouped objects. Hover over them to review.

2. **Switch to the ‘Question’ option** to see the objects list in their original view.

3. **Click the ‘Filters’ icon** to:
   * View grouped and ungrouped objects.
   * Check objects with remarks left by annotators or reviewers. Users can apply this filter to view remarked annotations, and the count will be displayed in the left panel.
   * Identify issues like:
     * ID mismatches between parts of a single object.
     * Missing attributes where mandatory.
     * Missing IDs for any annotated object.

4. **Review a specific object’s annotations.**

This feature improves annotation consistency, reduces errors, and ensures better AI model performance.

<iframe className="w-full aspect-video rounded-xl" src="https://www.youtube.com/embed/fZ6HQZ7F7ck" title="[VIDEO_TITLE]" frameborder="0" allowfullscreen />
