Underwater Object Detection

Abstract

Robotics are very expensive nowadays so every new researcher who wants to explore the underwater environment cannot afford such expensive robots, sonars, and remote vehicles in order to detect the underwater species. The underwater environment is one of the most challenging conditions for object detection because the underwater environment is harsh due to the amount of light present in the underwater. The images captured in an underwater environment are probably blurry, and low contrast due to this it is difficult for the human eye to detect the underwater objects/species. This project aims to provide a platform for new researchers to explore the underwater environment. With the help of this application, researchers upload captured image underwater and the application provides enhance image remove low contrast and blur issues, and provide a clear image to the user along with the detected objects or species. This application also provides a description of the species. This application uses a deep learning model which helps to accurately identify underwater objects. This Underwater object detection application provide a valuable tool for researchers to better understand the underwater environment