An Iterative Labeling Method for Annotating Fisheries Imagery. (arXiv:2204.12934v1 [cs.LG])

In this paper, we present a methodology for fisheries-related data that
allows us to converge on a labeled image dataset by iterating over the dataset
with multiple training and production loops that can exploit crowdsourcing
interfaces. We present our algorithm and its results on two separate sets of
image data collected using the Seabed autonomous underwater vehicle. The first
dataset comprises of 2,026 completely unlabeled images, while the second
consists of 21,968 images that were point annotated by experts. Our …

arxiv iterative labeling