A low-cost, long-term underwater camera trap network coupled with deep residual learning image analysis

Frontiers Artificial intelligence for fish behavior recognition may unlock fishing gear selectivity

The plot of the degraded versus clear image pixels (Iλ/Fλ). The

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Assessment of the utility of underwater hyperspectral imaging for surveying and monitoring coral reef ecosystems

Relationship between detection probabilities estimated by single‐season

PDF) Image analysis and benthic ecology: Proceedings to analyze in situ long‐term image series

A low-cost, long-term underwater camera trap network coupled with deep residual learning image analysis

Trigger evaluation process for the TrigCam. Panels a and b represent 80

Frontiers Estimating precision and accuracy of automated video post- processing: A step towards implementation of AI/ML for optics-based fish sampling

The plot of the estimated optical back-scatter, bλ, versus the image

Numbers of images recorded in our camera study con- ducted on seven

A low-cost, long-term underwater camera trap network coupled with deep residual learning image analysis

Features extracted from each single image Region of Interest (RoI)

Laser Spectroscopy – Ekspla — Ekspla

Frontiers Artificial intelligence for fish behavior recognition may unlock fishing gear selectivity