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月采集并整理完成，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。数据集包含以下六个类别：茶藻斑病（Algal Leaf Spot）、茶褐枯病（Brown Blight）、茶灰斑病（Gray Blight）、茶角盲蝽（Helopeltis）、茶红斑病（Red Leaf Spot）以及健康叶片（Healthy）。所有图像均通过离体茶叶手动拍摄，采集过程中采用了多样化的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了边界框（bounding box）。该数据集十分适用于农业人工智能研究中的目标检测与分类任务。研究人员可利用本数据集训练、验证及基准测试机器学习模型，以助力茶树种植领域自动化病害诊断技术的优化升级。