# 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.

![](https://1553794111-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FHczBG7NHgAtEe4ql1rXH%2Fuploads%2FqzfwcvWj8y7MQGMgWt9w%2Fimage.png?alt=media\&token=4d235c99-60e0-4c99-bd13-0234ca50f24e)

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)