Tea Leaf Dataset

Tea leaf dataset consists of two folders: Healthy leaves and Diseased leaves. The folder: “Healthy leaves” consists of images of leaves that is free from infection. The folder: “diseased leaves” consists of into 5 classes: Blister Blight, Brown Blight, Tea Mosquito Bug, Leaf Red Rust and Red Spider Mite. Each class is balanced in the dataset, that is1500 images in each class. Using python programming, raw images are first resized to 256*256 dimensions and then augmented using zoom, flip, rotation, shift and shear. Images are further enhanced using median filter.