Plant image classification dataset

Overview: This repository contains 1215 high-resolution RGB images captured by PSNC and WODR for the dataset specifically designed for training two models to recognize Cercospora Leaf in beet and Brown Rust of Rye in rye. The dataset has been utilized to train CNN models for product avaiable at AI4EOSC marketplace that are integrated into the mobile application of eDWIN advisory platform. Dataset Composition: The dataset is organized into separate directories for each plant and class: ├── beet/│ ├── unaffected/│ │ ├── 03007677-7ac3-4753-8785-b18141c5e116.jpg│ │ ├──147fdffc-ecd3-4b36-b08f-8dd2e0d0875f.jpg│ │ └── ... │ └── cercospora/│ ├── 023469c9-9c0f-4691-8d80-f2deb540af5c.jpg│ ├──071a839d-f590-4971-94e5-78183215bc26.jpg│ └── ...└── rye/ ├── unaffected/ │ ├── 0bhbfd34899f8sdsk.jpg │ ├── 098u98nhju9889fgf.jpg │ └── ... └── brown_rust/ ├──0gjnj3bj5hbjh54sab.jpg ├──b09difas90jnis0ndin.jpg └── ...Usage: The dataset is structured to aid in the development and testing of models for agricultural disease detection. The following table represents structure of dataset_overview.csv: Plant Class Filename beet unaffected 03007677-7ac3-4753-8785-b18141c5e116.jpg beet cercospora 023469c9-9c0f-4691-8d80-f2deb540af5c.jpg rye unaffected 0bhbfd34899f8sdsk.jpg rye brown_rust 0gjnj3bj5hbjh54sab.jpg Note: All data were recorded under various field conditions, and experts verified annotations to ensure the accuracy of labels. The dataset is continually updated with new data and annotations to enhance model robustness and accuracy.## 概览 本仓库包含由PSNC与WODR采集的1215张高分辨率RGB图像，该数据集专为训练两款识别甜菜尾孢叶斑病（Cercospora Leaf）以及黑麦棕色锈病（Brown Rust of Rye）的模型而打造。 本数据集已用于训练AI4EOSC平台商城中上架的卷积神经网络（Convolutional Neural Network, CNN）模型，该模型已集成至eDWIN咨询平台的移动应用中。 ## 数据集构成 本数据集按作物与病害类别划分至不同目录： ├── 甜菜/│ ├── 健康植株/│ │ ├── 03007677-7ac3-4753-8785-b18141c5e116.jpg│ │ ├──147fdffc-ecd3-4b36-b08f-8dd2e0d0875f.jpg│ │ └── ... │ └── 尾孢叶斑病/│ ├── 023469c9-9c0f-4691-8d80-f2deb540af5c.jpg│ ├──071a839d-f590-4971-9e45-78183215bc26.jpg│ └── ...└── 黑麦/ ├── 健康植株/ │ ├── 0bhbfd34899f8sdsk.jpg │ ├── 098u98nhju9889fgf.jpg │ └── ... └── 棕色锈病/ ├──0gjnj3bj5hbjh54sab.jpg ├──b09difas90jnis0ndin.jpg └── ... ## 使用场景 本数据集旨在助力农业病害检测模型的开发与测试。下表为dataset_overview.csv文件的结构： 作物 类别 文件名 甜菜 健康植株 03007677-7ac3-4753-8785-b18141c5e116.jpg 甜菜 尾孢叶斑病 023469c9-9c0f-4691-8d80-f2deb540af5c.jpg 黑麦 健康植株 0bhbfd34899f8sdsk.jpg 黑麦 棕色锈病 0gjnj3bj5hbjh54sab.jpg ## 备注 所有数据均在多样的田间环境下采集，且经专家核验标注以确保标签准确。本数据集将持续补充新数据与标注信息，以提升模型的鲁棒性与准确率。