Since 2014, very deep convolutional neural networks have been proposed and become the must-have weapon for champions in all kinds of competition. In this report, a pipeline is introduced to perform the classification of smoking and calling by modifying the pretrained inception V3. Brightness enhancing based on deep learning is implemented to improve the classification of this classification task along with other useful training tricks. Based on the quality and quantity results, it can be concluded that this pipeline with small biased samples is practical and useful with high accuracy.
@article{arxiv.2012.08026,
title = {Classification of Smoking and Calling using Deep Learning},
author = {Miaowei Wang and Alexander William Mohacey and Hongyu Wang and James Apfel},
journal= {arXiv preprint arXiv:2012.08026},
year = {2023}
}