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Found 2 papers, 1 papers with code
A Realistic Fish-Habitat Dataset to Evaluate Algorithms for Underwater Visual Analysis
The dataset consists of approximately 40 thousand images collected underwater from 20 \green{habitats in the} marine-environments of tropical Australia.
Underwater Fish Detection with Weak Multi-Domain Supervision
Given a sufficiently large training dataset, it is relatively easy to train a modern convolution neural network (CNN) as a required image classifier.
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