Hog Plum Leaf Disease Detection Dataset

#Purpose: Enables early and accurate identification of Hog plum leaf diseases, aiding sustainable agriculture.

#Collection: Captured across multiple locations in Bangladesh with field surveys guided by experts.

#Original Dataset:
3782 images in .jpg format
Categorized into 'healthy' and 'not_healthy' (representing various disease symptoms)

#Augmented Dataset:
20000 images, created through flipping, scaling, and brightening to improve dataset robustness.

#Applications: Ideal for researchers and practitioners to advance machine learning models in agriculture, enhancing disease detection and crop management.

## 目的：旨在实现早期且精确地识别柚子叶病害，助力可持续农业发展。
## 数据采集：在孟加拉国多个地点进行，由专家指导的实地调查采集。
## 原始数据集：包含3782张.jpg格式的图像，分为‘健康’和‘不健康’两类（代表各种病害症状）。
## 增强数据集：由20000张图像组成，通过翻转、缩放和增强亮度等方法制作，以提升数据集的鲁棒性。
## 应用领域：非常适合研究人员和从业者提升农业领域的机器学习模型，增强病害检测和作物管理能力。