Image Dataset for Detection and classification of Diseases of Guava Fruits and Leaves

The Guava Disease Detection Dataset provides annotated images of guava fruits and leaves, covering both healthy and disease-affected samples. It includes 3432 original images (1119 of fruits and 2313 of leaves) and an augmented set totaling 20344 images. Disease types for fruits include anthracnose, scab, and styler end rot, while leaves exhibit anthracnose, canker, dot, and rust. This dataset supports the development of machine learning models for precise disease detection in guava crops, enabling early interventions and improved disease management in agriculture.
#Total Original Images: 3432 images (1119 fruits, 2313 leaves)
#Augmented Images: 20344 images (10145 fruits, 10199 leaves)

#Fruit Dataset:
Healthy: 470 images
Anthracnose: 263 images
Styler End Rot: 262 images
Scab: 119 images

#Leaf Dataset:
Healthy: 1498 images
Anthracnose: 237 images
Canker: 192 images
Dot: 219 images
Rust: 167 images

#Purpose: Enables the creation of machine learning models for early guava disease detection, promoting efficient disease management and reducing crop loss.

瓜果疾病检测数据集（Guava Disease Detection Dataset）提供了一系列标注清晰的瓜果及其叶片图像，涵盖了健康与病害样本。该数据集包含3432张原始图像（其中1119张为果实图像，2313张为叶片图像）以及总计20344张的增强图像。果实病害类型包括炭疽病、疮痂病和茎端腐烂病，叶片病害则包括炭疽病、溃疡病、斑点病和锈病。此数据集支持开发用于瓜果作物精确病害检测的机器学习模型，从而实现早期干预，提升农业病害管理效率，减少作物损失。

#原始图像总数：3432张（果实1119张，叶片2313张）
#增强图像总数：20344张（果实10145张，叶片10199张）

#果实数据集：
健康：470张
炭疽病：263张
茎端腐烂病：262张
疮痂病：119张

#叶片数据集：
健康：1498张
炭疽病：237张
溃疡病：192张
斑点病：219张
锈病：167张

#目的：促进早期瓜果病害检测机器学习模型的构建，提高病害管理效率，降低作物损失。