Generative Adversarial Networks for Image Augmentation in Agriculture: A Systematic Review

1 code implementation • 10 Apr 2022 • Ebenezer Olaniyi, Dong Chen, Yuzhen Lu, Yanbo Huang

In agricultural image analysis, optimal model performance is keenly pursued for better fulfilling visual recognition tasks (e. g., image classification, segmentation, object detection and localization), in the presence of challenges with biological variability and unstructured environments.

Generative Adversarial Network Image Augmentation +4