农作物病害图像识别数据集

本数据集包含179000张农作物病害图像，用于基于深度学习的农作物疾病分类任务。数据来源于公开Kaggle平台，涵盖多种常见农作物及其病害类别，图像经过整理与标注，具有较高的分辨率和类别平衡性。该数据集适用于训练和评估深度学习模型，广泛应用于农业智能化领域，如病害自动识别、作物健康监测与智能诊断系统。

This dataset consists of 179,000 crop disease images, tailored for deep learning-based crop disease classification tasks. Derived from the public Kaggle platform, it covers a wide range of common crops and their associated disease categories. All images have been systematically organized and annotated, featuring high resolution and well-balanced class distribution. This dataset is applicable for training and evaluating deep learning models, and has been widely adopted in the field of intelligent agriculture, including applications such as automatic disease recognition, crop health monitoring and intelligent diagnostic systems.

搜集汇总

背景与挑战

背景概述

该数据集包含17900张高分辨率农作物病害图像，涵盖多种常见农作物及其病害类别，具有类别平衡性，适用于深度学习模型的训练与评估。数据以jpg图像和csv/json元数据格式提供，总容量2GB，采用MIT开源协议。