Tea leaf disease Dataset

This dataset contains 5180 annotated images of tea leaves, collected and curated in April 2024 for the purpose of detecting and classifying common tea leaf diseases using computer vision techniques. The dataset includes six classes: Algal Leaf Spot Brown Blight Gray Blight Helopeltis Red Leaf Spot Healthy All images were captured manually using detached tea leaves under varied lighting conditions and backgrounds to ensure diversity and robustness. The dataset was annotated using the Roboflow platform, with bounding boxes provided for each instance of disease or healthy leaf. This dataset is ideal for object detection and classification tasks in agricultural AI research. Researchers can use this dataset to train, validate, and benchmark machine learning models aimed at improving automated disease diagnosis in tea cultivation.本数据集共收录5180张带标注的茶叶图像，于2024年4月采集并精选整理，旨在通过计算机视觉技术实现常见茶叶病害的检测与分类。本数据集包含六个类别： 茶藻斑病、茶褐色叶枯病、茶灰斑病、茶盲蝽、茶红斑叶斑病、健康叶片。 所有图像均通过离体茶叶手动拍摄，涵盖多样化光照条件与背景环境，以保障数据集的多样性与鲁棒性。本数据集通过Roboflow平台完成标注，为每一处病害或健康叶片实例提供边界框标注。该数据集非常适合农业人工智能研究中的目标检测与分类任务。 研究人员可利用本数据集训练、验证并基准测试机器学习模型，以助力提升茶叶种植中的自动化病害诊断水平。

搜集汇总

背景与挑战

背景概述

该数据集包含5180张带边界框标注的茶叶图像，收集于2024年4月，涵盖Algal Leaf Spot、Brown Blight、Gray Blight、Helopeltis、Red Leaf Spot和Healthy六个类别，图像在多变条件下拍摄以增强多样性。它专为计算机视觉任务设计，适用于训练和评估机器学习模型，以自动化检测茶叶病害，支持农业AI研究。