pone.0207498.g007.tif (2.22 MB)

Example annotation candidates (column 1-2 true positives, column 3 false positives) from (top row), (middle row) and (bottom row).

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posted on 2018-11-16, 18:44 authored by Martin Zurowietz, Daniel Langenkämper, Brett Hosking, Henry A. Ruhl, Tim W. Nattkemper

Column 4 shows false negatives from the respective validation subset V^Γ.

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R-CNN marine image analysis marine image datasets MAIA benthic image collections exploration Digital imaging speed gain increases AUV Assisted Image Annotation Mask Region-based Convolutional Neural Network image annotation method training data

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