<?xml version="1.0"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title xmlns:dc="http://purl.org/dc/elements/1.1/">AquaticEye v0.2 - Beta user notebook</dc:title>
  <dc:type xmlns:dc="http://purl.org/dc/elements/1.1/">service</dc:type>
  <dc:identifier xmlns:dc="http://purl.org/dc/elements/1.1/">https://portal.medin.org.uk/portal/start.php?tpc=010_dbcc1386-8146-4053-a631-7f6679ec5fb0</dc:identifier>
  <dc:description xmlns:dc="http://purl.org/dc/elements/1.1/">AquaticEye is a AI model trained to detect species in underwater imagery capture in UK waters. It was developed at Plymouth Marine Laboratory to evaluate the capability of AI models to automatically count species from videos. This notebook is a beta demonstrator of this model for non-expert users. This tool was created as part of the Defra Marine Natural Capital and Ecosystem Assessment Programme (mNCEA).</dc:description>
  <dc:date xmlns:dc="http://purl.org/dc/elements/1.1/">20250306 20250306</dc:date>
</oai_dc:dc>