Facial recognition can identify people in a crowd. Can the same be done for fish in a river with “fish-ial” recognition software?
University of Virginia data scientist Sheng Li is determined to find out.
In collaboration with the U.S. Geological Survey, which has provided a five-year grant, Li and his two research assistants are training a deep-learning algorithm to recognize nuances in individual fishes’ faces and scale patterns.
