Papaya Leaf Disease Dataset

1. This dataset consists of five different papaya leaf classes—Crushed Papaya Leaves, Healthy Leaf, Mold, Mosaic, and Potash Deficiency—developed to facilitate the creation of machine vision-based algorithms. 2. A total of 2,500 papaya leaf images were collected from real agricultural fields. To increase the number of data samples, various data augmentation techniques, including shifting, flipping, zooming, shearing, brightness enhancement, and rotation, were applied, resulting in a total of 15,000 augmented images derived from the original dataset.1. 本数据集涵盖5类番木瓜叶片样本，分别为破损番木瓜叶片（Crushed Papaya Leaves）、健康番木瓜叶片（Healthy Leaf）、霉变叶片（Mold）、花叶病叶片（Mosaic）与缺钾胁迫叶片（Potash Deficiency），旨在推动基于机器视觉的算法研发工作。 2. 研究人员从真实农田中共采集了2500张番木瓜叶片图像。为扩充数据样本量，研究人员应用了平移、翻转、缩放、剪切、亮度增强及旋转等多种数据增强技术，最终从原始数据集生成了总计15000张增强图像。