Annotation Refinement and Minority-Class Augmentation for Coffee Leaf Disease Detection Using YOLOv8
Coffee leaf diseases negatively affect crop productivity, making early detection an essential task in precision agriculture. The widely used BRACOL dataset presents critical object detection challenges related to spatial localization consistency and extreme class imbalance. Rather than proposing a new detection archite...