Real-Life Dataset of Tea Plant Leaf Disease Classification

This dataset includes 967 images of tea leaves, categorised into five groups: Algal Leaf Spot (198 images), Brown Blight (192 images), Grey Blight (186 images), Healthy (200 images), and Red Leaf Spot (192 images). The images show tea leaves in various conditions, from healthy, disease-free leaves to those affected by different diseases. Algal Leaf Spot appears as yellowish lesions, Brown Blight causes brown, necrotic spots, Grey Blight shows greyish lesions, and Red Leaf Spot creates red circular spots. The healthy leaves are free from any visible issues. This diverse collection of images will help build a model that can accurately identify and classify different leaf diseases, contributing to better monitoring and care of tea plants. Additionally, the dataset includes a CSV file that contains the corresponding labels and metadata for all 967 images, making it easier to organise, analyse, and train machine learning models efficiently.本数据集包含967张茶叶图像，划分为5个类别：藻斑病（Algal Leaf Spot）样本198张、褐色叶枯病（Brown Blight）样本192张、灰枯病（Grey Blight）样本186张、健康叶片（Healthy）样本200张以及红斑病（Red Leaf Spot）样本192张。该数据集覆盖茶叶的多种生长状态，涵盖健康无病害叶片至受各类病害侵染的叶片各类场景。其中，藻斑病表现为淡黄色病斑，褐色叶枯病会引发褐色坏死斑点，灰枯病呈现灰色病斑，红斑病则会形成红色圆形病斑，健康叶片无任何可见异常。这批多样性丰富的图像集可用于构建可精准识别与分类各类茶叶病害的模型，助力茶树的精细化监测与养护。此外，该数据集还附带一份CSV文件，包含全部967张图像的对应标签与元数据，可简化机器学习模型的组织、分析与高效训练流程。