Real Time Recognition of Underwater Images using Deep Learning

Author(s)	DHIRESH KHARGA, RUCHIRA C
Country	India
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.
Keywords	Underwater imagery, Image recognition, Artificial neural networks, Classification, Marine organisms, Underwater objects, Environmental conditions, Noise, Distortion, Lighting conditions
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 6, Issue 3, May-June 2024
Published On	2024-05-05
Cite This	Real Time Recognition of Underwater Images using Deep Learning - DHIRESH KHARGA, RUCHIRA C - IJFMR Volume 6, Issue 3, May-June 2024. DOI 10.36948/ijfmr.2024.v06i03.18774
DOI	https://doi.org/10.36948/ijfmr.2024.v06i03.18774
Short DOI	https://doi.org/gttbjj

About IJFMR Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics Peer Review & Plagiarism	Join as a Reviewer Editors & Reviewers Reviewer Referral Program Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us		+91-9898-5948-55	editor@ijfmr.com

International Journal For Multidisciplinary Research