Deployment of a Dog Breed Classifier Using CNN and ResNet-50 on AWS EC2

Author(s)	Sadhana Paladugu
Country	United States
Abstract	This paper presents the development and deployment of a machine learning model for dog breed classification. The model leverages Haar Cascade classifiers for initial detection and Convolutional Neural Networks (CNN) with ResNet-50 for classification. The deployment was carried out on AWS EC2, encountering challenges related to maintaining a live production link with continuous updates. The study discusses model performance, deployment considerations, and solutions to challenges encountered in production.
Keywords	-
Field	Engineering
Published In	Volume 5, Issue 9, September 2024
Published On	2024-09-04
Cite This	Deployment of a Dog Breed Classifier Using CNN and ResNet-50 on AWS EC2 - Sadhana Paladugu - IJLRP Volume 5, Issue 9, September 2024. DOI 10.5281/zenodo.14880666
DOI	https://doi.org/10.5281/zenodo.14880666
Short DOI	https://doi.org/g849pc

About IJLRP 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		+91-9687-828-838	editor@ijlrp.com

International Journal of Leading Research Publication