Papaya Leaf Images

The Dataset comprises 140 papaya leaf images, each with a resolution of 150 × 150 pixels. This dataset is suitable for conducting diverse image processing experiments and serves as a valuable resource for the development and evaluation of computational models in the field of computer vision. The dataset is classified into five major classes: Boron, Healthy, Nitrogen, Phosphorus, and Potassium. The dataset is split and distributed into a Training set with 80 images, a Validation set with 40 images, and a Testing set with 20 images. Each set of leaves in the training dataset was manually annotated and categorized with the guidance of agricultural experts