AI-MedLeafX: A Large-Scale Computer Vision Dataset for Medicinal Plant Diagnosis

The AI-MedLeafX dataset is a curated collection of 10,858 original images and 65,178 augmented images of medicinal plant leaves, categorized into healthy and diseased conditions. The dataset primarily focuses on four medicinal plant species—Cinnamomum camphora, Terminalia Chebula, Moringa Oleifera, and Azadirachta Indica—and covers common leaf diseases such as Bacterial Spot, Shot Hole, Powdery Mildew, and Yellow Leaf Disease.

Category:
1. Cinnamomum Camphora Healthy Leaf: 800
2. Cinnamomum Camphora Bacterial Spot: 801
3. Cinnamomum Camphora Shot Hole: 795
4. Terminalia Chebula Bacterial Spot: 803
5. Terminalia Chebula Healthy Leaf: 816
6. Terminalia Chebula Shot Hole: 802
7. Moringa Oleifera Healthy Leaf: 860
8. Moringa Oleifera Bacterial Spot: 804
9. Moringa Oleifera Yellow Leaf: 814
10. Azadirachta Indica Healthy Leaf: 1021
11. Azadirachta Indica Shot Hole: 834
12. Azadirachta indica Powdery Mildew: 854
13. Azadirachta indica Yellow Leaf: 854

Total: 10,858

This dataset is designed to facilitate machine learning (ML), deep learning (DL), and computer vision (CV) applications in plant disease recognition, aiding automated medicinal plant health monitoring and disease classification systems.

The images were collected from the following locations in Dhaka, Bangladesh:

- National Botanical Garden (Latitude: 23.8110° N, Longitude: 90.3563° E)
- Daffodil Smart City (Latitude: 23.8720° N, Longitude: 90.2686° E)

The AI-MedLeafX dataset contributes to the advancement of computer vision in plant pathology and can be extended for research in precision agriculture, herbal medicine authentication, and disease diagnosis.

AI-MedLeafX数据集是一套经精心筛选汇编的药用植物叶片图像集合，包含10858张原始图像与65178张增强图像，按健康与染病状态进行分类。本数据集主要聚焦4种药用植物：香樟（Cinnamomum camphora）、诃子（Terminalia Chebula）、辣木（Moringa Oleifera）及印楝（Azadirachta Indica），涵盖细菌性斑点病（Bacterial Spot）、穿孔病（Shot Hole）、白粉病（Powdery Mildew）与黄化叶病（Yellow Leaf Disease）等常见叶部病害。

分类：
1. 香樟（Cinnamomum camphora）健康叶片：800
2. 香樟（Cinnamomum camphora）细菌性斑点病：801
3. 香樟（Cinnamomum camphora）穿孔病：795
4. 诃子（Terminalia Chebula）细菌性斑点病：803
5. 诃子（Terminalia Chebula）健康叶片：816
6. 诃子（Terminalia Chebula）穿孔病：802
7. 辣木（Moringa Oleifera）健康叶片：860
8. 辣木（Moringa Oleifera）细菌性斑点病：804
9. 辣木（Moringa Oleifera）黄化叶病：814
10. 印楝（Azadirachta Indica）健康叶片：1021
11. 印楝（Azadirachta Indica）穿孔病：834
12. 印楝（Azadirachta indica）白粉病：854
13. 印楝（Azadirachta indica）黄化叶病：854

总计：10858

本数据集旨在推动机器学习（Machine Learning, ML）、深度学习（Deep Learning, DL）与计算机视觉（Computer Vision, CV）在植物病害识别领域的应用，助力自动化药用植物健康监测与病害分类系统的开发。

图像采集自孟加拉国达卡的以下区域：
- 国家植物园（纬度：23.8110° N，经度：90.3563° E）
- 水仙智能城（纬度：23.8720° N，经度：90.2686° E）

AI-MedLeafX数据集为植物病理学领域的计算机视觉研究发展提供了重要支撑，可拓展应用于精准农业、草药鉴定与病害诊断等相关研究方向。