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DeepLOKI

DeepLOKI is an AI-based software that uses deep learning to classify zooplankton species from high-resolution images, improving research efficiency by enabling faster and more accurate onboard image analysis in marine science.

5
contributors
26 commits | Last commit ≈ 12 months ago

Cite this software

DOI:

10.5281/zenodo.13801443

What DeepLOKI can do for you

Training Data

Requests to access these datasets should be directed to Barbara Niehoff Barbara.Niehoff@awi.de; Ellen Oldenburg Ellen.Oldenburg@hhu.de.

Logo of DeepLOKI
Keywords
Data analysis
Earth & Environment
Machine learning
Marine
python
Programming language
  • Python 100%
License
</>Source code

Participating organisations

Alfred Wegener Institute for Polar and Marine Research (AWI)
Heinrich Heine University Düsseldorf

Contributors

RK
Raphael M. Kronberg
Heinrich Heine University Düsseldorf
EO
Ellen Oldenburg
Heinrich-Heine-Universität Düsseldorf
BN
Barbara Niehoff
Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research
OE
Oliver Ebenhöh
Heinrich-Heine-Universität Düsseldorf
OP
Ovidiu-Nicolae Popa
Heinrich-Heine-Universität Düsseldorf

Helmholtz Program-oriented Funding IV

Research Field
Research Program
PoF Topic
2 Earth and Environment
2.1 The Changing Earth - Sustaining our Future
2 RV Polarstern
2.1.2 Ocean and Cryosphere in Climate
2.1.6 Marine and Polar Life: Sustaining Biodiversity, Biotic Interactions and Biogeochemical Functions
  • 2 Earth and Environment
    • 2.1 The Changing Earth - Sustaining our Future
      • 2 RV Polarstern
      • 2.1.2 Ocean and Cryosphere in Climate
      • 2.1.6 Marine and Polar Life: Sustaining Biodiversity, Biotic Interactions and Biogeochemical Functions