Dataset Open Access

Microscopic images of pollen captured in Graz, Austria

Nam Cao; Matthias Meyer; Olga Saukh

Images and Annotations

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

Weights

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.

 

References
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. 

Files (2.0 GB)
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data.zip
md5:4ebfe93be1c3f05e544237ea06c85d9f
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weights.zip
md5:e70f5c6e3f9de225b3bdd4aa1a2b5768
380.1 MB Download
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