PNS-Cyst-Count (Part1): nematode cysts with orgnic debris, annotated with cyst count

<p>Data collected by the PheNeSens (Phenotyping of Nematodes with Sensors) project. The images recorded&nbsp;cysts of sugar beet nematode, together with organic debris from the soil sample, left after the soil processing.</p> <p>A total of 48 soil samples are recorded (30 images per sample) and number of cysts are manually counted. This is the first part, in which cysts present along with large amount of organic debris. The second part (cysts without debris) is available under link: https://zenodo.org/record/6861814</p> <p>For details of the data collection and deep learning model training, refer to our paper:</p> <p>Chen L, Daub M, Luigs H-G, Jansen M, Strauch M and Merhof D (2022) High-throughput phenotyping of nematode cysts. Front. Plant Sci. 13:965254. doi: 10.3389/fpls.2022.965254 [<a href="https://www.frontiersin.org/articles/10.3389/fpls.2022.965254/full?&amp;utm_source=Email_to_authors_&amp;utm_medium=Email&amp;utm_content=T1_11.5e1_author&amp;utm_campaign=Email_publication&amp;field=&amp;journalName=Frontiers_in_Plant_Science&amp;id=965254">link</a>]</p>