DYB-PlanktonNet

DYB-PlanktonNet is a dataset contains marine plankton and suspension particles ROI images recorded from the Daya Bay (DYB), an inner bay of the South China Sea close to Shenzhen City, China.
All the images in this dataset were captured by an underwater dark-field imager system called Imaging Plankton Probe (IPP) developed by Dr. Jianping Li’s research group at Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences. The images were labeled through a “human-machine mutually-assisted” process and an “amateur-sorting first, expert-verification follows” strategy to achieve both high annotation efficiency and quality. At present, the dataset has totally 46,804 ROI images in 90 categories, in which 82 are plankton, 7 are suspending particles and 1 is bubbles. The dataset is expected to contribute to the development of automated and intelligent analysis methods for marine plankton and suspending particle images classification and evaluation, hence deepen our understanding of the marine ecosystem.