> For the complete documentation index, see [llms.txt](https://docs.altum.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.altum.ai/english/property-valuation-and-market/photo-labelling-api/output-interpretation.md).

# Output interpretation

{% hint style="info" %} <mark style="color:$danger;">**Deprecated**</mark>\ <mark style="color:$danger;">This API is deprecated and no longer recommended for new implementations. Existing integrations may continue to work. Contact Altum AI for guidance on the recommended setup.</mark>
{% endhint %}

<table><thead><tr><th width="297">Feature</th><th>Example</th><th>Explanation</th></tr></thead><tbody><tr><td>Image_Class</td><td>indoor</td><td>The basic class of the image, which will define the further categorization.</td></tr><tr><td>ConfidencePercent_Image_Class</td><td>99.2</td><td>How much confident (in %) the model is that the image belongs to the predicted image class</td></tr><tr><td>Room_Class</td><td>other_room</td><td>The room identified in the image, if the image is indoors. If the class is 'other_room', a further categorization takes place.</td></tr><tr><td>ConfidencePercent_Room_Class</td><td>96.1</td><td>How much confident (in %) the model is that the image belongs to the predicted room class</td></tr><tr><td>Room_Subclass</td><td>hall_corridor</td><td>The further categorization applied to the image, to find the room subclass, if the main room class is 'other_room'.</td></tr><tr><td>ConfidencePercent_Room_Subclass</td><td>82.16</td><td>How much confident (in %) the model is that the image belongs to the predicted room subclass</td></tr><tr><td>Scene_Class1</td><td>facade</td><td>The first major scene class identified into the image, describing the outdoor scene of the house.</td></tr><tr><td>ConfidencePercent_Scene_Class1</td><td>70.5</td><td>How much confident (in %) the model is that the image belongs to the predicted scene class</td></tr><tr><td>Scene_Class2</td><td>balcony-garden</td><td>The second major scene class identified into the image, describing the outdoor scene of the house. It is identified, if the confidence for the 1st scene class falls under 70%</td></tr><tr><td>ConfidencePercent_Scene_Class2</td><td>75.2</td><td>How much confident (in %) the model is that the image belongs also to a second scene class</td></tr></tbody></table>


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## 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, and the optional `goal` query parameter:

```
GET https://docs.altum.ai/english/property-valuation-and-market/photo-labelling-api/output-interpretation.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.