IJBTT

Region Extraction based Approach for Cigarette usage Classification using Deep Learning
	© 2023 by IJCTT Journal
	Volume-71 Issue-2
	Year of Publication : 2023
	Authors : Priyanshu, Madabhushi Aditya, K. Sai Sidhartha Reddy, Pranav Reddy Gudipati, Radha Karampudi
	DOI :  10.14445/22312803/IJCTT-V71I2P108

How to Cite?

Priyanshu, Madabhushi Aditya, K. Sai Sidhartha Reddy, Pranav Reddy Gudipati, Radha Karampudi, "Region Extraction based Approach for Cigarette usage Classification using Deep Learning," International Journal of Computer Trends and Technology, vol. 71, no. 2, pp. 45-53, 2023. Crossref, https://doi.org/10.14445/22312803/IJCTT-V71I2P108

Abstract
In this research paper, we created our database of cigarette smokers and classified them into smoking and nonsmoking categories. Here, we have passed our database through different machine-learning models, such as Random Forest and KNN. We have also considered other deep learning models, such as DenseNet, Xception, Inception, and ResNet50, using which we created a voting classifier that gave an accuracy of 94.41.

Keywords
Deep learning, Voting classifier, DenseNet, Xception, Inception, ResNet50.

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