A High-Resolution Multifocal RGB Pollen Grain Image Dataset for Deep Learning Computer Vision Tasks from Biobío Region, Chile.
Researchers in Chile built a large, high-quality image library of 16 pollen types from the Biobío Region, complete with precise shape outlines verified by a pollen expert. This dataset is designed to train AI systems that can automatically identify pollen — a task that matters for tracking plant diversity, allergies, and honey authenticity.