The investigation of Image Classification Utilizing Convolutional Neural Network
Author(s):Siddhesh Tambe1, Dr Neelam Labhader2, Divyani Chavan3, Hemant Daphal4 ,Tejashri Bhagwat5
Affiliation: Department of Computer Engineering, Shree Ramchandra College of Engineering, Pune University, India
Page No: 4-7
Volume issue & Publishing Year: Volume 1 Issue 2,June-2024
Journal: International Journal of Advanced Engineering Application (IJAEA)
ISSN NO: 3048-6807
DOI:
Abstract:
This research paper aims to present a comprehensive evaluation of study done on image classification using convolutional neural networks (CNNs). The targeted result of this paper is to explore the benefits of CNNs in classifying images and to recognize the important factors that affect its functioning. This study aims to present the possible applications that this methodology and evaluation metrics can be used for when performing image classification. This study concludes with a review of all the key aspects found on the topic and suggestions on the future areas the findings can be used for. Overall, this paper contributes to deepen the understating on image classification using machine learning.
Keywords: Image Classification, Machine Learning, CNN, Convolutional Neural Network, Computer Vision.
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