# visualizer\_classes

The **visualizer\_classes** represent a set of visualizer classes that are used with the [**code\_loader**](/tensorleap-integration/python-api/code_loader.md) visualizers. \
The [**code\_loader**](/tensorleap-integration/python-api/code_loader.md) visualizer classes should be used to visualize the following items:

| Object to visualize                              | Leap object to use                                                                                                   | How it is shown in the platfom                                                                                                             |
| ------------------------------------------------ | -------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------ |
| Grayscale/RGB image                              | [**LeapImage**](/tensorleap-integration/python-api/code_loader/visualizer_classes/leapimage.md)                      | [**Image**](/user-interface/dashboards/dashlets/population-exploration/sample-visualization.md#image-visualizer)                           |
| Image overlayed with bounding boxes              | [**LeapImageWithBBox**](/tensorleap-integration/python-api/code_loader/visualizer_classes/leapimagewithbbox.md)      | [**Image with bounding boxes**](/user-interface/dashboards/dashlets/population-exploration/sample-visualization.md#object-detection)       |
| Image overlayed with heatmap                     | [**LeapImageWithHeamap**](/tensorleap-integration/python-api/code_loader/visualizer_classes/leapimagewithheatmap.md) | -                                                                                                                                          |
| 1D signal                                        | [**LeapGraph**](/tensorleap-integration/python-api/code_loader/visualizer_classes/leapgraph.md)                      | [**Graph**](/user-interface/dashboards/dashlets/population-exploration/sample-visualization.md#graph-visualizer)                           |
| Text                                             | [**LeapText**](/tensorleap-integration/python-api/code_loader/visualizer_classes/leaptext.md)                        | [**Text**](/user-interface/dashboards/dashlets/population-exploration/sample-visualization.md#text-visualizer)                             |
| Historgram and logits                            | [**LeapHorizontalBar**](/tensorleap-integration/python-api/code_loader/visualizer_classes/leaphorizontalbar.md)      | [**Horizontal bar**](/user-interface/dashboards/dashlets/population-exploration/sample-visualization.md#horizontal-bar-visualizer)         |
| Semantic segmentation mask or other integer mask | [**LeapImageMask**](/tensorleap-integration/python-api/code_loader/visualizer_classes/leapimagemask.md)              | [**Image with mask**](/user-interface/dashboards/dashlets/population-exploration/sample-visualization.md#semantic-segmentation-visualizer) |
| Token Classification                             | [**LeapTextMask**](/tensorleap-integration/python-api/code_loader/visualizer_classes/leaptextmask.md)                | [**Text Mask**](/user-interface/dashboards/dashlets/population-exploration/sample-visualization.md#text-mask)                              |
| Video                                            | [**LeapVideo**](/tensorleap-integration/python-api/code_loader/visualizer_classes/leapvideo.md)                      | -                                                                                                                                          |

### Examples

Full examples can be found at the **Dataset Integration** section of the following guides:

* [**MNIST Guide**](/guides/full-guides/mnist-guide.md)
* [**IMDB Guide**](/guides/full-guides/imdb-guide.md)


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.tensorleap.ai/tensorleap-integration/python-api/code_loader/visualizer_classes.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
