Jute Leaf Disease Classification Dataset

This dataset contains 900 images of jute leaves, organized into three folders: Cercospora Leaf Spot, Golden Mosaic disease, and Healthy Leaf. Each folder represents one class and can be directly used for image classification and machine learning tasks.

The images were collected from real-world conditions and show clear visual differences between healthy and diseased leaves, such as spots, color changes, and mosaic patterns. This makes the dataset suitable for research in plant disease detection, computer vision, and deep learning.

An official Verification and Approval Form (PDF) is included with the dataset. This document confirms the authenticity and accuracy of the data and approves its use for research and educational purposes.

This dataset can be used for training, testing, and evaluating machine learning models for agricultural and plant health applications.

本数据集包含900张黄麻叶片图像，分为三个文件夹：尾孢叶斑病（Cercospora Leaf Spot）、黄金花叶病（Golden Mosaic disease）以及健康叶片（Healthy Leaf），每个文件夹对应一个类别，可直接用于图像分类与机器学习任务。
所有图像均采集自真实场景，健康叶片与染病叶片间存在清晰的视觉差异，包括病斑、色泽变化及花叶症状等，因此该数据集适用于植物病害检测、计算机视觉及深度学习相关研究。
本数据集附带一份官方验证与审批表（PDF格式），该文件可证明数据的真实性与准确性，并批准其用于科研与教学用途。
本数据集可用于训练、测试及评估面向农业与植物健康应用场景的机器学习模型。