Software
Our analysis pipelines are released openly. Everything below is built to run over large image collections without manual annotation of every frame.
These were developed and released by the lab’s director at GEOMAR Helmholtz Centre for Ocean Research Kiel. They are the classification and detection components SIEAL is now adapting to Kenyan coastal conditions.
AI-SCW — Automated and Integrated Seafloor Classification Workflow
Paper: B. Mbani, T. Schoening, I. Z. Gazis, R. Koch, J. Greinert
Software release: B. Mbani, T. Schoening, J. Greinert
An end-to-end workflow for classifying seafloor imagery into habitat classes without hand-labelling every image. Developed on manganese-nodule covered seabed in the Central Pacific and published in Scientific Reports (2022). It is the classification backbone we are now adapting to mangrove and coastal habitats.
FaunD-Fast — Megabenthic Fauna Detector
Authors: B. Mbani, V. Buck, J. Greinert
A Faster R-CNN detector for locating and counting megabenthic fauna in optical seafloor images, trained and evaluated on imagery from the Clarion–Clipperton Zone. Released via Zenodo and GEOMAR, and the direct ancestor of the computer-vision component of Blue-BII.