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 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 automatically configures augmentation settings—so you can focus on solving your problem without the hassle of trial-and-error.