木薯叶片病害图像分类数据集-384x384分辨率

木薯叶片病害图像分类数据集-384x384分辨率 数据来源：互联网公开数据 标签：木薯,叶片病害,图像分类,TFRecord,机器学习,计算机视觉,病害识别,农业,作物,数据集 数据概述： 本数据集包含21397张木薯叶片图像，这些图像经过中心裁剪处理，并转换为15个TFRecord文件，分辨率为384x384像素。图像数据来源于Kaggle平台上的“木薯叶片病害分类”竞赛数据集。 数据集中图像的元数据包含以下特征： * image：图像数据，以字节流形式存储。 * target：图像对应的病害类别，整数编码，具体对应关系如下： * 0：木薯细菌性枯萎病 (CBB) * 1：木薯棕色条纹病 (CBSD) * 2：木薯绿斑驳病 (CGM) * 3：木薯花叶病 (CMD) * 4：健康叶片 * image_name：图像文件名，对应于train.csv文件中的image_id列。 数据用途概述： 该数据集适用于图像分类、病害识别、机器学习模型训练等多种场景。研究人员可以使用此数据开发和评估用于木薯叶片病害诊断的计算机视觉模型。该数据集可用于训练卷积神经网络（CNN）等深度学习模型，从而实现对木薯病害的自动检测和分类，有助于农业生产中的病害管理和作物健康监测。

Cassava Leaf Disease Image Classification Dataset (384×384 Resolution)
Data Source: Publicly accessible internet-derived data
Labels: Cassava, Leaf Disease, Image Classification, TFRecord, Machine Learning, Computer Vision, Disease Recognition, Agriculture, Crop, Dataset

Dataset Overview:
This dataset comprises 21,397 cassava leaf images, which have undergone center cropping and converted into 15 TFRecord files with a resolution of 384×384 pixels. The image data is sourced from the "Cassava Leaf Disease Classification" competition dataset hosted on the Kaggle platform.

The metadata of the images in the dataset includes the following features:
* `image`: Image data stored as byte streams.
* `target`: The disease category corresponding to the image, encoded as integers. The specific mapping is as follows:
* 0: Cassava Bacterial Blight (CBB)
* 1: Cassava Brown Streak Disease (CBSD)
* 2: Cassava Green Mottle (CGM)
* 3: Cassava Mosaic Disease (CMD)
* 4: Healthy Leaves
* `image_name`: Image filename, corresponding to the image_id column in the train.csv file.

Overview of Dataset Applications:
This dataset is applicable to multiple scenarios including image classification, disease recognition, and machine learning model training. Researchers can utilize this dataset to develop and evaluate computer vision models for cassava leaf disease diagnosis. It can be employed to train deep learning models such as Convolutional Neural Networks (CNNs) to achieve automatic detection and classification of cassava diseases, thereby facilitating disease management and crop health monitoring in agricultural production.

搜集汇总

背景与挑战

背景概述

该数据集是一个包含21397张384x384分辨率木薯叶片图像的数据集，专为图像分类和病害识别任务设计。图像覆盖5个类别（包括4种病害和健康叶片），以TFRecord格式存储，适用于训练计算机视觉模型，支持农业病害自动检测和作物健康管理。