Tomato Leaf Disease Classification Dataset in Pakistan

This dataset comprises 7,200 images of tomato leaves collected from real-time agricultural field conditions in Pakistan. The images were captured using a smartphone camera under natural lighting, without controlled backgrounds, to reflect realistic field environments. The dataset includes six classes: Early Blight, Late Blight, Septoria Leaf Spot, Leaf Mold, Yellow Leaf Curl Virus, and Healthy leaves. All images are stored in JPG format with consistent resolution and were manually labeled based on visible disease symptoms. The dataset is intended to support research and development in machine learning, deep learning, and computer vision, particularly for tomato leaf disease detection and precision agriculture applications under real-world conditions.

本数据集包含7200张番茄叶片图像，采集自巴基斯坦的真实农田环境。所有图像均采用智能手机摄像头在自然光照下拍摄，未设置受控背景，以还原真实的田间场景。数据集涵盖六大类别：早疫病（Early Blight）、晚疫病（Late Blight）、Septoria叶斑病（Septoria Leaf Spot）、叶霉病（Leaf Mold）、番茄黄化曲叶病毒病（Yellow Leaf Curl Virus）以及健康叶片。所有图像均以JPG格式存储，分辨率统一，并根据可见的病害症状完成人工标注。本数据集旨在为机器学习、深度学习及计算机视觉领域的研发工作提供支撑，尤其适用于真实场景下的番茄叶片病害检测与精准农业相关应用。