Real Time Recognition of Underwater Images using Deep Learning

Abstract

This study focuses on the development of an effective image recognition system tailored for underwater environments. The objective is to create a robust and efficient artificial neural network capable of accurately categorizing underwater images amidst challenges like noise, distortion, and variable lighting conditions. The system's primary function is to classify images into predefined categories, such as distinct species of marine organisms, underwater objects, or environmental conditions.