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.

本数据集共包含5180张带标注的茶叶图像，于2024年4月采集并整理，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。本数据集涵盖6个类别：藻斑病（Algal Leaf Spot）、茶褐色叶斑病（Brown Blight）、茶灰斑病（Gray Blight）、茶盲蝽（Helopeltis）、茶赤斑病（Red Leaf Spot）、健康叶片（Healthy）。
所有图像均采用离体茶叶手动拍摄，采集过程覆盖多样化光照条件与背景环境，以确保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均提供了边界框（bounding boxes）。本数据集非常适用于农业人工智能研究中的目标检测与分类任务。
研究人员可借助本数据集训练、验证并基准测试机器学习模型，以优化茶叶种植中的自动化病害诊断流程。

搜集汇总

背景与挑战

背景概述

该数据集包含5180张标注的茶叶图像，涵盖六种常见病害类别，适用于计算机视觉技术在农业病害诊断中的应用。数据集图像多样性强，适合训练和验证机器学习模型。