Corn Leaf Disease Classification Dataset

This dataset contains approximately 17,000 labeled images of corn (maize) leaves, collected for research purposes in plant disease detection and classification. The dataset is organized into five distinct classes: Common Rust, Corn Leaf Blight, Gray Leaf Spot, Healthy, and Insect Damage.

Each image represents real-world field conditions, capturing variations in lighting, background, and disease severity. This diversity makes the dataset suitable for training and evaluating machine learning and deep learning models for agricultural disease diagnosis.

The dataset is well-structured and can be used for image classification tasks, particularly in computer vision applications related to precision agriculture. It is intended to support research, model development, and performance benchmarking in crop disease detection systems.