Leafwise Mulberry Classification

This project achieved 2nd Place in the IEEE HSB ComSoc Modifier Machine Learning Competition 2025, the Kaggle competition Leaf-wise Mulberry Classification focused on identifying the cultivar of mulberry leaves from a dataset of 5,262 annotated images across 10 distinct classes.

The dataset included natural outdoor variations such as lighting, angles, and backgrounds, making it a challenging real-world classification task.