High-Resolution Eggplant Leaf Image Dataset for Plant Disease Classification and Detection

This dataset comprises 255 high-resolution .jpg images of eggplant (Solanum melongena) leaves, captured using a Canon EOS 1300D DSLR camera under consistent natural lighting conditions. The dataset is designed to support research in plant disease detection, image classification, and AI-driven agricultural diagnostics.

Images are organized into six labeled folders representing different leaf health conditions:

Healthy (80 images)
Insect-Pest (40 images)
Leaf-Spot (50 images)
Mosaic-Virus (15 images)
Small-Leaf (20 images)
Wilt (50 images)

All images are in .jpg format and maintain high visual quality, capturing clear textures and disease symptoms. This dataset is suitable for training and evaluating machine learning and deep learning models, and it provides valuable resources for researchers in smart farming, precision agriculture, and plant pathology.