# Data Augmentation Setup In addition to defining your model type, you can improve training outcomes by introducing data augmentation. This step broadens the variety of images your model sees, ensuring it performs well on new or unexpected visual inputs. Rather than asking you to manually tweak rotation angles, flips, or color variations, [EyePop.ai](http://eyepop.ai/) presents a short quiz to identify the best parameters. For example, the quiz might ask if your objects appear in different orientations, whether lighting conditions vary significantly, or if partial obstructions are common. Based on your answers, [EyePop.ai](http://eyepop.ai/) automatically configures augmentation settings—so you can focus on solving your problem without the hassle of trial-and-error. --- # 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/data-augmentation-setup.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.