project
PlantVillage Disease Classification
This project walks through the complete pipeline to train, quantize, convert, and benchmark an AkidaNet model on the PlantVillage dataset for Akida 1 hardware. PlantVillage contains 54,303 images of healthy and diseased plant leaves across 38 categories (14 crop species × multiple disease types plus healthy variants). The task is a 38-class image classification problem: given a 224×224 RGB image of a leaf, identify the crop species and disease (or healthy state).
