# Label Visualization

### About this block

The Label Visualization block lets you see the labels returned from a model on an image.

This block works with:

* Object detection models
* Segmentation models

If you want to visualize labels from classification models, use the Classification Label Visualization.

<figure><img src="/files/fbpo2sOmof6nCNFhjaEm" alt=""><figcaption><p>The Label Visualization block.</p></figcaption></figure>

This block only shows labels on an image. If you also want to see bounding boxes or segmentation masks, you will need to add a [Bounding Box Visualization](/workflows/workflow-blocks/visualize-predictions/bounding-box-visualization.md) or a Mask Visualization.

### What you can send into this block

To use this block, you need:

1. An input image or video frame, and;
2. Predictions from an Object Detection or Segmentation model.

### What this block returns

The Label Visualization block returns an image with the labels from a model.

Here is an example output from this block:

<figure><img src="/files/FrQzH5o4zV6CaMZaP4Ie" alt=""><figcaption><p>Labels from an object detection model displayed on an image.</p></figcaption></figure>

Here is an example when this block is used after a Bounding Box Visualization block:

<figure><img src="/files/dMTvU2YGityYYJtO6m9E" alt=""><figcaption><p>Labels and boxes from an object detection model displayed on an image.</p></figcaption></figure>

### Use cases

This block is useful if you want to see the results from a model on an image. This is common during testing.

Because visualizing predictions adds a small amount of overhead to running a Workflow, we only recommend adding a Visualization in production if you need to see the location of results from your model.


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# Agent Instructions: Querying This Documentation

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```
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```

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