Convolutional Neural Network for Pornographic Images Classification

The pornographic content that spreads across the internet can potentially harm underage users. Consequently, pornographic images detection has become a popular topic for many researchers. In previous studies on image content detection, features were selected by an expert. In some cases, the features cannot represent a significant attribute or characteristic. Convolutional Neural Networks are among the deep learning approaches that have been applied to tackle this problem. In this research, a modification on the last layer is proposed to fit the pornographic detection. According to the final results, the pornographic image classification accuracy reached 93.8%.