# CV Inputs

This guide will walk you through the basic steps required to use Fiddler for monitoring computer vision (CV) models. In this notebook we demonstrate how to detect drift in image data using model embeddings using Fiddler's unique Vector Monitoring approach.

Click [this link to get started using Google Colab →](https://colab.research.google.com/github/fiddler-labs/fiddler-examples/blob/main/quickstart/latest/Fiddler_Quickstart_Image_Monitoring.ipynb)

<div align="left"><figure><img src="https://colab.research.google.com/img/colab_favicon_256px.png" alt="Google Colab" width="188"><figcaption></figcaption></figure></div>

Or download the notebook directly from [GitHub](https://github.com/fiddler-labs/fiddler-examples/blob/main/quickstart/latest/Fiddler_Quickstart_Image_Monitoring.ipynb).