New Plant Diseases Dataset

**This dataset is recreated using offline augmentation from the original dataset. The original dataset can be found on [this][1] github repo. This dataset consists of about 87K rgb images of healthy and diseased crop leaves which is categorized into 38 different classes. The total dataset is divided into 80/20 ratio of training and validation set preserving the directory structure.
A new directory containing 33 test images is created later for prediction purpose.**

[1]: https://github.com/spMohanty/PlantVillage-Dataset

本数据集通过离线增强技术对原始数据集进行重构。原始数据集可于[此][1] GitHub 仓库找到。该数据集包含约 87,000 张健康与患病作物叶片的 RGB 图像，并划分为 38 个不同的类别。整个数据集按 80/20 的比例分为训练集与验证集，同时保留了目录结构。随后，为预测目的创建了包含 33 张测试图像的新目录。