Real-time underwater fish identification and biomonitoring via machine learning-based compression of video to text

Richmond, California
EcologyEngineering
DOI: 10.18258/77387
Grant: Bio-logging Innovation
$10,030
Raised of $10,000 Goal
100%
Funded on 5/07/25
Successfully Funded
  • $10,030
    pledged
  • 100%
    funded
  • Funded
    on 5/07/25

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