Lead development of deep learning-based computer vision technology for monitoring
fishery spatial population distributions in Belize and Honduras. This work required
development use of convolutional neural network models for semantic segmentation,
contour-based image classification, keypoint detection as well as non-ML steps like
color correction and rectification. Also worked with biologists to design data
collection and analysis methodology.
This work was supported by The Rare Fish Forever Project