# Scenarios

Scenarios are guided, ready‑made neural network workflows that walk you through configuring, training, and applying popular models to your own data without manual pipeline setup.

<table data-view="cards"><thead><tr><th></th><th></th><th data-hidden data-card-target data-type="content-ref"></th></tr></thead><tbody><tr><td><strong>Object detection with YOLO26</strong></td><td>Learn how to train and deploy YOLO26 for real-world object detection tasks, with step-by-step guidance from dataset setup to production inference.</td><td><a href="/pages/N48q7d1uaKwbwACxwRi8">/pages/N48q7d1uaKwbwACxwRi8</a></td></tr></tbody></table>


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# 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.supervisely.com/neural-networks/scenarios.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.