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Notebooks, extended challenge description and metadata for the December 2021 Data Study Group with CEFAS

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plankton-dsg-challenge

Repository for the Rapid identification of plankton using machine learning challenge with CEFAS, the November/December 2021 Data Study Group.

People

  • Challenge owner: Sophie Pitois (Cefas)
  • PIs: Alejandro Coca Castro, Beatriz Costa Gomes, Evangeline Corcoran (Turing)
  • Facilitators: Aida Mehonic, David Salvador

People also with access to the data safe haven:

  • From the Turing: Ed Chalstrey, Oliver Strickson, Scott Hosking
  • From Cefas: James Scott, Phil Culverhouse, Robert Blackwell

Structure

Challenge

  • Contains the long description of the challenge, and any additional information.

Notebooks

  • Instructions to prepare the environment to run the notebooks
  • Jupyter notebooks to explore the metadata
  • Jupyter notebooks using scivision to handle the data hosted in Azure

Metadata

  • CSV files with the information regarding the challenge data, before (../data/raw/) and after (../data/processed/) being split into training and testing datasets, using the script available in ../src/

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Notebooks, extended challenge description and metadata for the December 2021 Data Study Group with CEFAS

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  • Jupyter Notebook 66.0%
  • HTML 33.9%
  • Other 0.1%