PNS-Cyst-Count (Part1): nematode cysts with orgnic 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 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 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]

本数据集由PheNeSens（传感器表型分析线虫，Phenotyping of Nematodes with Sensors）项目采集。所记录的图像包含甜菜线虫胞囊，以及土壤样品经处理后残留的有机碎屑。本次共记录48份土壤样品，每份样品对应30张图像，且所有样品中的胞囊数量均经人工计数。本数据集为第一部分，其中胞囊与大量有机碎屑共存。第二部分（不含有机碎屑的胞囊数据集）可通过以下链接获取：https://zenodo.org/record/6861814。有关数据采集与深度学习模型训练的详细信息，请参阅我们的论文：Chen L, Daub M, Luigs H-G, Jansen M, Strauch M 及 Merhof D (2022) 线虫胞囊的高通量表型分析。《植物科学前沿》（Front. Plant Sci.）13:965254，DOI: 10.3389/fpls.2022.965254 [链接]