Deep neural network recognition of shallow water corals in the Gulf of Eilat (Aqaba).

ABSTRACT: We describe the application of the computerized deep learning methodology to the recognition of corals in a shallow reef in the Gulf of Eilat, Red Sea. This project is aimed at applying deep neural network analysis, based on thousands of underwater images, to the automatic recognition of some common species among the 100 species reported to be found in the Eilat coral reefs. This is a challenging task, since even in the same colony, corals exhibit significant within-species morphological variability, in terms of age, depth, current, light, geographic location, and inter-specific competition. Since deep learning procedures are based on photographic images, the task is further challenged by image quality, distance from the object, angle of view, and light conditions. We produced a large data

SUBMITTER: Raphael A 

PROVIDER: S-EPMC7395127 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature