SpotTheFake: An Initial Report on a New CNN Enhanced Platform for Counterfeit Goods Detection
The counterfeit goods trade represents nowadays more than 3.3% of the whole world trade and thus it's a problem that needs now more than ever a lot of attention and a reliable solution that would reduce the negative impact it has over the modern society. This paper presents the design and early development of a novel counterfeit goods detection platform that makes use of the outstanding learning capabilities of the classical VGG16 convolutional model trained through the process of "transfer learning" and a multi stage fake detection procedure that proved to be not only reliable but also very robust in the experiments we have conducted so far using an image dataset of various goods we have gathered ourselves. Keywords Counterfeit goods detection, Multi stage fake detection, CNN, VGG16, Transfer learning.