The PlantVillage dataset is created to bring efficient solutions in order to detect 39 different plant diseases. It contains 61,486 images of plant leaves and backgrounds. It was created with six different augmentation techniques for creating more diverse datasets with different background conditions. The augmentations used in this process were scaling, rotation, noise injection, gamma correction, image flipping, and PCA color augmentation.