> For the complete documentation index, see [llms.txt](https://docs.eyepop.ai/developer-documentation/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.eyepop.ai/developer-documentation/self-service-training/how-to-train-a-model/example-use-case-detecting-eyeglasses.md).

# Example Use Case: Detecting Eyeglasses

## Defining your Problem 

In this case we’re simply looking for clear images of glasses in various contexts. We also want to know how much space in the frame they take up, if a person is wearing them, and how centered they are in the frame. 

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To begin, navigate to the **My Models** page, click on **Create a New Model**, and choose **Find Objects** as your model type. Name your model and define the label for detection, eg., “eyeglasses”. When you click **Continue,** you’ll be able to upload an image dataset on the right hand side of the screen. The next step walks you through preparing data to make sure you have a representative dataset for training your model.


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