Automation of species recognition and size measurement of fish from underwater stereo-video imagery

  • Harvey, Euan (Chief Investigator)
  • Mian, Ajmal (Chief Investigator)
  • Shortis, Mark (Chief Investigator)
  • Culverhouse, Philip (Chief Investigator)
  • Edgington, Duane (Chief Investigator)
  • Cline, Danelle (Chief Investigator)
    StatusCurtailed
    Effective start/end date1/07/11 → 17/01/14

    Funding

    • NSW Office of Environment and Heritage
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    Related content

    Research Output

    Automatic fish species classification in underwater videos: Exploiting pre-trained deep neural network models to compensate for limited labelled data

    Research output: Contribution to journal › Article