Apple Image Dataset for Healthy and Infected Fruit Classification

This dataset contains 1,045 labeled RGB images of apple fruits, including 545 healthy and 500 infected samples, collected from local fruit markets and retail shops in Islamabad, Pakistan. The dataset is designed for binary image classification, computer vision, deep learning, transfer learning, and automated fruit quality assessment.