论文标题
花粉13k：大型显微镜花粉谷物图像数据集
Pollen13K: A Large Scale Microscope Pollen Grain Image Dataset
论文作者
论文摘要
花粉谷物分类在从医学到生物学和农艺学的许多领域中都具有出色的作用。确实，自动花粉谷物分类是所有相关应用和领域的重要任务。这项工作介绍了第一个大规模花粉谷物图像数据集，其中包括13,000多个对象。在介绍了花粉谷物分类及其动机问题之后，本文着重于使用的数据采集步骤，其中包括有机生物学采样，显微镜图像获取，对象检测，分割和标记。此外，还提供了对已建立数据集上花粉分类任务的基线实验评估，以及有关已实现结果的讨论。
Pollen grain classification has a remarkable role in many fields from medicine to biology and agronomy. Indeed, automatic pollen grain classification is an important task for all related applications and areas. This work presents the first large-scale pollen grain image dataset, including more than 13 thousands objects. After an introduction to the problem of pollen grain classification and its motivations, the paper focuses on the employed data acquisition steps, which include aerobiological sampling, microscope image acquisition, object detection, segmentation and labelling. Furthermore, a baseline experimental assessment for the task of pollen classification on the built dataset, together with discussion on the achieved results, is presented.
