  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.
