International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 5 September-October 2024 Submit your research before last 3 days of October to publish your research paper in the issue of September-October.

Advancements in Image Detection: A Comprehensive Approach to Object Localization and Classification using Deep Learning Techniques

Author(s) SUSHMIT KADAM
Country India
Abstract This paper explores recent advancements in image detection, focusing on object localization and classification using deep learning techniques. It delves into the core processes of image detection, including preprocessing, feature extraction, and the application of state-of-the-art models like Faster R-CNN, YOLO, and SSD. The study highlights the significant improvements in accuracy and efficiency brought about by convolutional neural networks (CNNs) in identifying and classifying objects within images. By examining the challenges and solutions in modern image detection, this paper provides a comprehensive overview of the methodologies that have revolutionized the field, offering insights into their applications in various industries such as autonomous vehicles, surveillance, and medical imaging.
Keywords Fitness technology, AI-powered trainer, Bicep curls, Computer vision, Mediapipe, Body posture analysis.
Field Computer Applications
Published In Volume 6, Issue 5, September-October 2024
Published On 2024-09-12
Cite This Advancements in Image Detection: A Comprehensive Approach to Object Localization and Classification using Deep Learning Techniques - SUSHMIT KADAM - IJFMR Volume 6, Issue 5, September-October 2024. DOI 10.36948/ijfmr.2024.v06i05.27133
DOI https://doi.org/10.36948/ijfmr.2024.v06i05.27133
Short DOI https://doi.org/gwfgrv

Share this