Cotton Leaf Disease Dataset with Severity Levels

This dataset comprises images of cotton leaves affected by various diseases, as well as healthy leaves. The data is meticulously organized into multiple folders, with each folder representing a specific disease or condition. The dataset includes images collected under diverse environmental conditions to enhance the robustness of machine learning models trained on it.

The dataset is categorized as follows:

Cotton_Healthy: Healthy cotton leaves without any visible signs of disease.
Bacterial_Blight: Leaves showing symptoms of bacterial blight, characterized by dark, water-soaked spots that may enlarge over time.
Fusarium_Wilt: Leaves affected by fusarium wilt, often exhibiting yellowing and wilting.
Curl_Virus: Cotton leaves infected with curl virus, characterized by curling and deformation of leaves.
The dataset is further stratified based on disease severity levels, including mild, moderate, severe, and critical stages. It is intended for training and validating machine learning models for automating disease detection and classification, enabling timely interventions in cotton farming.