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

<strong>Dataset description</strong> This dataset contains microscopic images and videos of pollen gathered between Feb. and Aug. 2020 in Graz, Austria. Pollen images of 16 types: <code>...images_16_types.zip</code> Acer Pseudoplatanus Aesculus Carnea Alnus Anthoxanthum Betula Pendula Brassica Carpinus Corylus Dactylis Glomerata Fraxinus Pinus Nigra Platanus Populus Nigra Prunus Avium Sequoiadendron Giganteum Taxus Baccata Pollen video library <code>...pollen_video_library.zip</code> Each type of pollen is in a separate folder, there may be multiple videos per type. 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]. Cropped file name structure <code>[Video file name]_[TrackingID]_[Image index of a grain]_[Frame index in video]</code> Example, if a grain has 5 images, the file name would be: <pre><code> Anthoxanthum-grass-20200530-122652_0000000_001_00001.jpg Anthoxanthum-grass-20200530-122652_0000000_002_00002.jpg ... Anthoxanthum-grass-20200530-122652_0000000_005_00005.jpg </code></pre> Field data over 3 days are gathered in Graz in spring 2020. <code>...pollen_field_data.zip</code> Sample code to load the data and visualize the images is in <code>...plot_pollen_sample.py</code>. Download and extract the file <code>...images_16_types.zip</code> in the same folder as <code>...plot_pollen_sample.py</code> to run the example. <strong>Dependecies:</strong> opencv numpy matplotlib <strong>Credit</strong> [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). 108–119. <pre><code>@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}, }</code></pre>