# Model-assisted labeling

One way to drastically speed up data labeling is by leveraging your machine learning models from the start. Instead of labeling the entire dataset manually, you can use a model to help you by iterating between image labeling and model training.

![](/files/fEVxrUXIg3bbUWdpJy6d)

Segments.ai makes it easy to set up such model-assisted workflows.

We have two interactive tutorials in the form of a Google Colab notebook:

* [Speed up your image segmentation workflow with model-assisted labeling](https://colab.research.google.com/github/segments-ai/fast-labeling-workflow/blob/master/demo.ipynb)
* [Fast point cloud labeling with model predictions](https://colab.research.google.com/drive/1ZgHiMeHNlEB5WFyw93EiRkMd-0jmb7f4)


---

# 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.segments.ai/tutorials/model-assisted-labeling.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.