Fig. 6: Illustration of data augmentation techniques applied to the training dataset.
From: Phenotypic feature-based identification of tea geographical origin using lightweight deep learning
To enhance model robustness and prevent overfitting, five distinct augmentation strategies were applied to the original segmented images (a). The generated variations include: (b) Horizontal flip, (c) Vertical flip, (d) Random rotation, (e) Exposure enhancement, and (f) Exposure reduction.
