Microscopic Images of Pollen captured in Graz, Austria

Cao Nguyen Khoa Nam; Matthias Meyer; Olga Saukh

doi:10.5281/zenodo.3572653

Microscopic Images of Pollen captured in Graz, Austria

Cao Nguyen Khoa Nam (Photographer), Matthias Meyer (Photographer), Olga Saukh (Photographer)

Institute of Technical Informatics (4480)

Research output: Non-print form › Data set/Database

Abstract

This dataset contains microscopic images of pollen captured in Graz, Austria and one file for each image containing annotations where the image contains pollen. The images were captured with an automated pollen detection system as described in [to be added]. 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

Original language	English
Publisher	Zenodo
Media of output	Online
Size	1.6 GB
DOIs	https://doi.org/10.5281/zenodo.3572653
Publication status	Published - 19 Feb 2020

Keywords

pollen
microscopic images

Access to Document

10.5281/zenodo.3572653

Cite this

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title = "Microscopic Images of Pollen captured in Graz, Austria",

abstract = "This dataset contains microscopic images of pollen captured in Graz, Austria and one file for each image containing annotations where the image contains pollen. The images were captured with an automated pollen detection system as described in [to be added]. 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",

keywords = "pollen, microscopic images",

author = "Nam, {Cao Nguyen Khoa} and Matthias Meyer and Olga Saukh",

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language = "English",

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PY - 2020/2/19

Y1 - 2020/2/19

N2 - This dataset contains microscopic images of pollen captured in Graz, Austria and one file for each image containing annotations where the image contains pollen. The images were captured with an automated pollen detection system as described in [to be added]. 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

AB - This dataset contains microscopic images of pollen captured in Graz, Austria and one file for each image containing annotations where the image contains pollen. The images were captured with an automated pollen detection system as described in [to be added]. 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

KW - pollen

KW - microscopic images

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U2 - 10.5281/zenodo.3572653

DO - 10.5281/zenodo.3572653

M3 - Data set/Database

PB - Zenodo

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Microscopic Images of Pollen captured in Graz, Austria

Abstract

Keywords

Access to Document

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