PotatoGANs: Utilizing Generative Adversarial Networks, Instance Segmentation, and Explainable AI for Enhanced Potato Disease Identification and Classification
The episode discusses a paper titled "PotatoGANs," which uses Generative Adversarial Networks to create synthetic potato disease images, combined with Instance Segmentation and Explainable AI for better identification and classification of diseases. The team developed a full pipeline that improves data augmentation, focuses on the whole tuber, and provides transparent model reasoning.