Microscopic images of pollen captured in Graz, Austria

<strong>Images and Annotations</strong> This dataset contains microscopic images of pollen captured in Graz, Austria. Additionally, bounding box annotations are provided for each image. The images were captured with an automated pollen detection system as described in the paper Automated and Continuous Pollen Detection with an Affordable Technology. The annotations have been produced manually. This dataset contains data of two days (23.05.2019 and 26.05.2019). The dataset can be used to train an object classifier with the code from the following repository: https://github.com/osaukh/pollenpub <strong>Weights</strong> In addition, this dataset contains two pre-trained weight files. One weight file is pre-trained on ImageNet (provided by Joseph Redmon) and the other is pre-trained for pollen detection on the above mentioned image/annotation combination. <strong>References</strong><br> The dataset (and related aspects) has partly been used and is described in more detail in the following publication: N. Cao, M. Meyer, L. Thiele, O. Saukh. Automated Pollen Detection with an Affordable Technology. Proc. of the International Conference on Embedded Wireless Systems and Networks (EWSN), February 2020.<strong>图像与标注</strong> 本数据集包含在奥地利格拉茨采集的花粉显微图像，每张图像均配有边界框标注。本数据集使用的图像由一款自动化花粉检测系统采集，相关技术细节可参见论文《基于低成本技术的自动化连续花粉检测》（Automated and Continuous Pollen Detection with an Affordable Technology）。所有标注均为人工标注，数据集涵盖2019年5月23日与2019年5月26日两天的采集数据。研究者可通过下述代码仓库中的代码训练目标分类器：https://github.com/osaukh/pollenpub <strong>预训练权重</strong> 此外，本数据集附带两份预训练权重文件：一份基于ImageNet（ImageNet）数据集预训练（由Joseph Redmon提供），另一份则基于前述图像与标注组合，针对花粉检测任务完成预训练。 <strong>参考文献</strong><br> 本数据集（及相关研究内容）已部分应用于下述学术出版物，并在其中得到了更详尽的阐述：N. Cao、M. Meyer、L. Thiele、O. Saukh. 《基于低成本技术的自动化花粉检测》（Automated Pollen Detection with an Affordable Technology），发表于2020年2月的国际嵌入式无线系统与网络会议（International Conference on Embedded Wireless Systems and Networks, EWSN）论文集。