Apple Leaf Health Dataset

This dataset comprises images of apple leaves annotated as healthy or unhealthy, collected under a wide range of real-world conditions to ensure robustness and practical relevance. The images capture natural variability, including wet leaf surfaces, night-time lighting, and other challenging environmental factors that commonly occur in orchard settings. By incorporating these diverse conditions, the dataset provides a realistic foundation for validating leaf-health classification models. It was specifically designed to support research on real-time, on-device inference, enabling reliable evaluation of machine-learning models intended for deployment on resource-constrained edge devices.