# 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. \ 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. --- # 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.eyepop.ai/developer-documentation/self-service-training/how-to-train-a-model/example-use-case-detecting-eyeglasses.md?ask= ``` 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.