Cotton Leaf Image Dataset for Disease Classification

This dataset comprises high-resolution images of cotton leaves categorized by disease type and health condition. It is structured into two parts: the Original Dataset and the Augmented Dataset.

Original Dataset
The original set contains real-world images of cotton leaves affected by various diseases, alongside healthy specimens. The images are labeled into the following five classes:

- Alternaria Leaf Spot: 173 images
- Bacterial Blight: 218 images
- Fusarium Wilt: 337 images
- Healthy Leaf: 333 images
- Verticillium Wilt: 312 images

Augmented Dataset
To enhance diversity and improve model robustness, data augmentation techniques were applied to the original images. The resulting augmented dataset includes:

- aug_Alternaria_Leaf: 987 images
- aug_Bacterial_Blight: 1027 images
- aug_Fusarium_Wilt: 957 images
- aug_Healthy_Leaf: 1015 images
- aug_Verticillium_Wilt: 977 images

This dataset is well-suited for research in plant pathology, machine learning, and image classification tasks related to agriculture and crop health monitoring.