Automatic plankton image classification - can capsules and filters help coping with data set shift?

This data set is related to the article 'Automatic plankton image classification - can capsules and filters help coping with data set shift?' published in 'Limnology and Oceanography: Methods' by Plonus <em>et al.</em> (2021). The images belong to the trainings set used to train the models in the aforementioned paper (training_) and three different additional data sets which were used to evaluate the performance of the trained models in application mode (fs446_; fs466_; fs534_). The Python-Script 'separate_files.py' can be used to move all the images in different folders for each data set and class respectively.本数据集与Plonus等人2021年发表于《湖沼学与海洋学方法（Limnology and Oceanography: Methods）》的论文《浮游生物图像自动分类——胶囊与滤波器能否助力应对数据集漂移？》相关。该数据集包含前述论文中用于训练模型的训练集（training_），以及三组用于评估训练后模型在应用模式下性能的额外数据集（fs446_、fs466_、fs534_）。Python脚本`separate_files.py`可用于将各数据集内的图像按类别分别移动至对应文件夹中。