Cucumber Images Dataset – Classical Augmentation Collection

This repository contains the images generated through classical augmentation techniques applied to the original dataset of cucumber plant images. The transformations used include mild geometric operations (HorizontalFlip, VerticalFlip, Rotate, RandomRotate90, RandomResizedCrop, and ShiftScaleRotate with moderate parameters), photometric transformations (RandomBrightnessContrast and slight adjustments to HueSaturationValue), and low-intensity effects (soft GaussianBlur and very light GaussNoise). Each augmented image maintains a direct correspondence with its original image, following the same folder structure as the base dataset. This collection provides controlled variations of the visual material that can be used for experimentation, model training, or comparative analyses between original and transformed images.