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.【研究目的】：实现霍克李（Hog plum）叶片病害的早期精准识别，助力可持续农业发展。 【数据采集】：经专家指导开展野外调查，在孟加拉国多个地点采集图像。 【原始数据集】：包含3782张JPEG（.jpg）格式图像，分为“健康”与“不健康”两类，其中“不健康”类别涵盖多种病害症状。 【增强数据集】：通过翻转、缩放、亮度增强等手段生成20000张图像，以提升数据集的鲁棒性。 【应用场景】：可供农业领域的研究者与从业者开发机器学习模型，助力优化病害检测与作物管理工作。