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An automated pipeline for supervised classification of petal color from citizen science photographs.

Rachel A Perez-UdellAndrew T UdellShu-Mei Chang
Published in: Applications in plant sciences (2023)
This method provides a flexible, robust, and easily adjustable approach for the classification of color images from citizen science repositories. By using color to classify images, this pipeline sidesteps many of the issues encountered using more traditional computer vision applications. This approach provides a tool for making use of large citizen scientist data sets.
Keyphrases
  • deep learning
  • machine learning
  • convolutional neural network
  • artificial intelligence
  • public health
  • big data
  • optical coherence tomography
  • electronic health record