Automated Pollen Recognition System

Shu Kong, Derek Haselhorst, Surangi W. Punyasena, Charless Fowlkes

Last update: June 6, 2017.


This is about an automated pollen recognition system. The system automatically scans a sample with various z-plane (focus), detect pollen grains and segment them, and recognize the species.

Dataset, models and writeup will be uploaded.

keywords: proposal detection, segmentation, detection, classification, deep learning, convolutional neural networks, multi-instance learning, fine-grained classification.


[github repo] [dataset] [models] [report]