> 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/train-your-own-model/data-augmentation-setup.md).

# Data Augmentation

How EyePop broadens your dataset before training

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. There is no setup step for this. Rather than asking you to manually tweak rotation angles, flips, or color variations, EyePop.ai applies a standard augmentation profile — orientation, lighting, occlusion and camera-motion variation — automatically, so you can focus on solving your problem without the hassle of trial-and-error.