Notebooks to upload/download marine footage, connect to a citizen science project, train machine learning models and publish marine biological observations.
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Developed a point-based segmentation approach #189
@jannesgg @biomobst from our last conversation with SGU it's clear to me we should have different ML model approaches and human-in-the-loop annotation labelling (whether CVAT, Taglab,...)
Integrate a ML approach to segment areas of interest from the SGU point-based photo labels. Maybe using Taglab or CVAT?
Relevant literature: General segmentation: https://arxiv.org/pdf/2003.06148.pdf https://colab.research.google.com/github/roboflow-ai/notebooks/blob/main/notebooks/how-to-segment-anything-with-sam.ipynb
Segment Anything Meets Point Tracking: Repo on a joint model of point tracking and Segmentation
Ocean-related: On Improving the Training of Models for the Semantic Segmentation of Benthic Communities from Orthographic Imagery Automatic Semantic Segmentation of Benthic Habitats Using Images from Towed Underwater Camera in a Complex Shallow Water Environment
@jannesgg @biomobst from our last conversation with SGU it's clear to me we should have different ML model approaches and human-in-the-loop annotation labelling (whether CVAT, Taglab,...)