Dataset Open Access

Pollen Video Library for Benchmarking Detection, Classification, Tracking and Novelty Detection Tasks

Nam Cao; Matthias Meyer; Lothar Thiele; Olga Saukh


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        <foaf:name>Olga Saukh</foaf:name>
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    <dct:title>Pollen Video Library for Benchmarking Detection, Classification, Tracking and Novelty Detection Tasks</dct:title>
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    <dct:description>&lt;p&gt;&lt;strong&gt;Dataset description&lt;/strong&gt;&lt;/p&gt; &lt;p&gt;This dataset contains microscopic images and videos of pollen gathered between Feb. and Aug. 2020 in Graz, Austria.&lt;/p&gt; &lt;ul&gt; &lt;li&gt; &lt;p&gt;Pollen images of 16 types:&amp;nbsp;&lt;code&gt;...images_16_types.zip&lt;/code&gt;&lt;/p&gt; &lt;ul&gt; &lt;li&gt;Acer Pseudoplatanus&lt;/li&gt; &lt;li&gt;Aesculus Carnea&lt;/li&gt; &lt;li&gt;Alnus&lt;/li&gt; &lt;li&gt;Anthoxanthum&lt;/li&gt; &lt;li&gt;Betula Pendula&lt;/li&gt; &lt;li&gt;Brassica&lt;/li&gt; &lt;li&gt;Carpinus&lt;/li&gt; &lt;li&gt;Corylus&lt;/li&gt; &lt;li&gt;Dactylis Glomerata&lt;/li&gt; &lt;li&gt;Fraxinus&lt;/li&gt; &lt;li&gt;Pinus Nigra&lt;/li&gt; &lt;li&gt;Platanus&lt;/li&gt; &lt;li&gt;Populus Nigra&lt;/li&gt; &lt;li&gt;Prunus Avium&lt;/li&gt; &lt;li&gt;Sequoiadendron Giganteum&lt;/li&gt; &lt;li&gt;Taxus Baccata&lt;/li&gt; &lt;/ul&gt; &lt;/li&gt; &lt;li&gt; &lt;p&gt;Pollen video library&amp;nbsp;&lt;code&gt;...pollen_video_library.zip&lt;/code&gt;&lt;/p&gt; &lt;ul&gt; &lt;li&gt;Each type of pollen is in a separate folder, there may be multiple videos per type.&lt;/li&gt; &lt;li&gt;In each pollen folder, we included images cropped from the videos by YOLO object detection algorithm trained on a subset of pollen images as described in [1].&lt;/li&gt; &lt;li&gt;Cropped file name structure&amp;nbsp;&lt;code&gt;[Video file name]_[TrackingID]_[Image index of a grain]_[Frame index in video]&lt;/code&gt; &lt;ul&gt; &lt;li&gt;Example, if a grain has 5 images, the file name would be: &lt;pre&gt;&lt;code&gt; Anthoxanthum-grass-20200530-122652_0000000_001_00001.jpg Anthoxanthum-grass-20200530-122652_0000000_002_00002.jpg ... Anthoxanthum-grass-20200530-122652_0000000_005_00005.jpg &lt;/code&gt;&lt;/pre&gt; &lt;/li&gt; &lt;/ul&gt; &lt;/li&gt; &lt;/ul&gt; &lt;/li&gt; &lt;li&gt; &lt;p&gt;Field data over 3 days are gathered in Graz in spring 2020.&amp;nbsp;&lt;code&gt;...pollen_field_data.zip&lt;/code&gt;&lt;/p&gt; &lt;/li&gt; &lt;li&gt; &lt;p&gt;Sample code to load the data and visualize the images is in&amp;nbsp;&lt;code&gt;...plot_pollen_sample.py&lt;/code&gt;. Download and extract the file&amp;nbsp;&lt;code&gt;...images_16_types.zip&lt;/code&gt;&amp;nbsp;in the same folder as&amp;nbsp;&lt;code&gt;...plot_pollen_sample.py&lt;/code&gt;&amp;nbsp;to run the example.&lt;/p&gt; &lt;/li&gt; &lt;/ul&gt; &lt;p&gt;&lt;strong&gt;Dependecies:&lt;/strong&gt;&lt;/p&gt; &lt;ul&gt; &lt;li&gt;opencv&lt;/li&gt; &lt;li&gt;numpy&lt;/li&gt; &lt;li&gt;matplotlib&lt;/li&gt; &lt;/ul&gt; &lt;p&gt;&lt;strong&gt;Credit&lt;/strong&gt;&lt;/p&gt; &lt;p&gt;[1] N. Cao, M. Meyer, L. Thiele, and O. Saukh. 2020. Automated Pollen Detection with an Affordable Technology. In Proceedings of the International Conference on Embedded Wireless Systems and Networks (EWSN). 108&amp;ndash;119.&lt;/p&gt; &lt;pre&gt;&lt;code&gt;@inproceedings{namcao2020pollen, title = {Automated Pollen Detection with an Affordable Technology}, author = {Nam Cao and Matthias Meyer and Lothar Thiele and Olga Saukh}, booktitle = {Proceedings of the International Conference on Embedded Wireless Systems and Networks (EWSN)}, pages={108–119} month = {2}, year = {2020}, }&lt;/code&gt;&lt;/pre&gt;</dct:description>
    <dct:description>Appears in the Proceedings of the 3rd Workshop on Data Acquisition To Analysis (DATA '20)</dct:description>
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