PNS-Cyst-Count (Part2): hand-picked nematode cysts without organic debris, annotated with cyst count

Data collected by the PheNeSens (Phenotyping of Nematodes with Sensors) project. The images recorded cysts of sugar beet nematode, together with organic debris from the soil sample, left after the soil processing.

A total of 48 soil samples are recorded (30 images per sample) and number of cysts are manually counted. This is the second part, containing images of hand-picked cysts on filter papers. The cysts before hand-picking (with large amount of organic debris) is available under: https://zenodo.org/record/6861775

For details of the data collection and deep learning model training, refer to our paper:

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 [link]