MorphoCluster: Efficient Annotation of Plankton Images by Clustering

  title={MorphoCluster: Efficient Annotation of Plankton Images by Clustering},
  author={Simon-Martin Schr{\"o}der and R. Kiko and R. Koch},
  journal={Sensors (Basel, Switzerland)},
  • Simon-Martin Schröder, R. Kiko, R. Koch
  • Published 2020
  • Computer Science, Medicine
  • Sensors (Basel, Switzerland)
  • In this work, we present MorphoCluster, a software tool for data-driven, fast, and accurate annotation of large image data sets. While already having surpassed the annotation rate of human experts, volume and complexity of marine data will continue to increase in the coming years. Still, this data requires interpretation. MorphoCluster augments the human ability to discover patterns and perform object classification in large amounts of data by embedding unsupervised clustering in an interactive… CONTINUE READING
    2 Citations


    Automated taxonomic classification of phytoplankton sampled with imaging‐in‐flow cytometry
    • 262
    • PDF
    Validation methods for plankton image classification systems
    • 12
    • PDF
    Digital zooplankton image analysis using the ZooScan integrated system
    • 267
    • PDF
    In situ ichthyoplankton imaging system (ISIIS): system design and preliminary results
    • 115
    • PDF
    BIIGLE 2.0 - Browsing and Annotating Large Marine Image Collections
    • 45
    • PDF
    Beyond image classification: zooplankton identification with deep vector space embeddings
    • 1
    • PDF
    Transfer Learning and Deep Feature Extraction for Planktonic Image Data Sets
    • 25
    • PDF