Malabar Spinach Disease Detection Dataset

Dataset Purpose: Collection of Malabar spinach (Basella alba) leaf images for advancing disease detection in agriculture.

Total Images: 20,173 images

Original Images: 3,006 images collected from various cities in Bangladesh (Savar, Dhaka, Sirajganj, Gazipur).
Augmented Images: 17,167 images created to increase model robustness by reflecting environmental and imaging variations.
Leaf Conditions:
Healthy: Images of healthy leaves.
Unhealthy: Images categorized into four disease types:
Anthracnose
Bacterial Spot
Downy Mildew
Pest Damage

Applications: Supports machine learning and computer vision research for automated plant disease detection.

Goal: Resource for enhancing crop health and yield management, specifically aimed at agricultural improvements in Bangladesh.

数据集目的：收集马耳他菠菜（Basella alba）叶图像，以促进农业疾病检测技术的发展。
总图像数量：20,173张图像
原始图像：来自孟加拉国多个城市（萨瓦尔、达卡、锡拉杰甘杰、加济布尔）收集的3,006张图像。
增强图像：为增强模型对环境及成像变化的适应性，创建了17,167张图像。
叶部状况：
健康：健康叶片的图像。
不健康：分为四种疾病类型：
炭疽病
细菌斑点
霜霉病
虫害损害
应用：支持机器学习和计算机视觉研究，以实现植物疾病检测的自动化。
目标：作为提升作物健康和产量管理的资源，特别针对孟加拉国的农业改良。