Fruit detection for small datasets via adjustable anchor boxes and transfer learning
Fruit detection is a crucial task in plant phenotyping but remains challenging due to limited training data, high variability in fruit appearances across different growth stages, and occlusions that hinder accurate detection. To address these issues, we propose an Adjustable Anchor Box Detection Network with Transfer L...