Real Time Object Detection Using Yolo: CNN Model

Benedict Joseph J

Yolo Object detection CNN

object detection and depth estimation have been among the core objects that are often employed for application in autonomous navigation

Published Paper   E-Certificate

"Real Time Object Detection Using Yolo: CNN Model", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 10, page no.c592-c597, October-2024, Available :https://ijnrd.org/papers/IJNRD2410271.pdf

Volume 9 Issue 10, October-2024

Pages : c592-c597

Paper Reg. ID: IJNRD_301381

Published Paper Id: IJNRD2410271

Downloads: 00019

Research Area: Science and Technology

Country: Karnataka , Bengaluru, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2410271

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2410271

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition