Abstract
Abstract: This paper is a testament to the research carried out to detect tampered images using deep learning and machine learning techniques, including the implementation of various standard and hybrid convolution neural networks, thus creating a comparative study for the neural networks. Tampered images can be found on various social media networks and sites thus creating a false impression in the minds of people consuming the information from them. Hence, to filter out these fake images the following research work and implementation are carried out.
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