## How to use
* Input "visual\_similarity": 1 to activate the function.
* Add a custom weight from 0.1 to 1 to determine the impact of sorting the results with 0.5 as default: "weight\_visualsimilarity": 0.5.
* Input an image for the target object via example “url”: “.
* Optionally adjust the other weights to improve the sorting of visual similar properties. When only interested in the visual similarity of the reference objects, set the rest of the weights to zero: "weight\_innersurfacearea" : 0, "weight\_buildyear" : 0, "weight\_transactiondate" : 0, "weight\_distance" : 0.
{% hint style="info" %}
* Visual similarity can only be calculated for objects of which a facade image is known in the database.
* The performance of the API when activating “visual\_similarity” is slower because of the activation of the model to parse the images and find visual similar properties.
{% endhint %}
## Results
* The reference objects are sorted based on the calculated weight
* Per reference object, additional information is returned:
* Image: The facade image of the reference objects is added per reference object when known: “Image”: “.
* Visual similarity score: “VisualSimilarityScore”: 82.425.
---
# 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.altum.ai/english/property-valuation-and-market/interactive-reference-api/visual-similarity-search.md?ask=
```
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.