Paddy Doctor: A Visual Image Dataset for Automated Paddy Disease Classification and Benchmarking

The Paddy Doctor dataset contains 16,225 labeled paddy leaf images across 13 classes (12 different paddy diseases and healthy leaves). It is the largest expert-annotated visual image dataset to experiment with and benchmark computer vision algorithms. The paddy leaf images were collected from real paddy fields using a high-resolution (1,080 x 1,440 pixels) smartphone camera. The collected images were carefully cleaned and annotated with the help of an agronomist. Visit the Paddy Doctor project website https://paddydoc.github.io for more information.

水稻医生数据集囊括了13个类别（12种不同的水稻病害及健康叶片）共计16,225张标注的水稻叶图像，该数据集为规模最大的由专家标注的视觉图像数据集，旨在进行计算机视觉算法的实验与基准测试。水稻叶图像系采用高分辨率（1,080 x 1,440像素）智能手机相机，从实际水稻田中采集而来。收集到的图像在农学家的协助下进行了精心清洗与标注。欲了解更多信息，请访问水稻医生项目网站：https://paddydoc.github.io。

搜集汇总

背景与挑战

背景概述

Paddy Doctor数据集包含16,225张标注的稻田叶片图像，覆盖13个类别（12种不同稻田病害和健康叶片），是目前最大的专家标注视觉图像数据集。图像使用高分辨率智能手机相机从真实稻田中采集，并经过农学家仔细清理和标注。