Banana and Banana Leaf Dataset for Classification and Disease Detection
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http://doi.org/10.17632/5nfjzntwd8.1
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资源简介:
This dataset is curated to support research in the classification and detection of banana and banana leaf conditions, focusing on identifying diseases affecting banana crops. The dataset is suitable for machine learning tasks like image classification and computer vision applications. It comprises both raw and augmented data for a diverse set of banana-related categories, including healthy and diseased leaves and fruits.
#Raw Data:
Healthy Banana Leaf: 1,256 images
Black Leaf Streak: 63 images
Panama Disease: 56 images
Banana Scab Moth: 20 images
Black Sigatoka: 170 images
Good Banana: 56 images
Black Pitting/Banana Rust: 788 images
Crown Rot: 57 images
Fungal Disease: 565 images
#Augmented Data:
Healthy Banana Leaf: 6,258 images
Black Leaf Streak: 315 images
Panama Disease: 280 images
Banana Scab Moth: 100 images
Black Sigatoka: 850 images
Good Banana: 172 images
Black Pitting/Banana Rust: 3,965 images
Crown Rot: 285 images
Fungal Disease: 2,825 images
#This dataset aims to facilitate the development of machine learning models for banana disease detection, promote biodiversity studies, and support education on plant health. It provides valuable insights for agricultural experts and farmers to identify diseases early for better crop management.
本数据集旨在支持香蕉及其叶片状况的分类与检测研究,聚焦于识别影响香蕉作物的疾病。该数据集适用于机器学习任务,如图像分类和计算机视觉应用。它包含多种与香蕉相关的类别数据,包括健康与患病叶片及果实,涵盖了原始数据与增强数据。具体而言,#原始数据包括:
健康香蕉叶片:1,256张图片
黑斑病:63张图片
巴拿马病:56张图片
香蕉叶斑蛾:20张图片
黑 Sigatoka:170张图片
好香蕉:56张图片
黑点/香蕉锈病:788张图片
顶腐病:57张图片
真菌病:565张图片
#增强数据包括:
健康香蕉叶片:6,258张图片
黑斑病:315张图片
巴拿马病:280张图片
香蕉叶斑蛾:100张图片
黑 Sigatoka:850张图片
好香蕉:172张图片
黑点/香蕉锈病:3,965张图片
顶腐病:285张图片
真菌病:2,825张图片
本数据集旨在促进机器学习模型在香蕉疾病检测方面的开发,推动生物多样性研究,并支持植物健康教育的普及。它为农业专家和农民提供了宝贵的见解,有助于早期识别疾病,以实现更优的作物管理。
提供机构:
Mendeley Data



