GitHub repository: oussama20221/Projet-de-fin-d-etude---Implementation-of-a-Computer-vision-solution-for-artwork-authe-
Description: This report summarizes my work at IntellCap (Host Company) for my end-of-studies project, which is entitled “Implementation of a ‘Computer vision’ solution for artwork authentication and art style recognition”; in order to obtain the diploma of advanced engineering in data and knowledge from the School of Information Science. Due to the historical, cultural, and financial value of artworks, this subject stands as a particularly delicate topic. As artificial intelligence techniques were being employed in many industries to improve fraud detection systems, it was only logical for the art domain to participate in this movement, offering objective judgment to the art committees. My internship's mission was to design and develop two types of models: one was a CNN model that took images of artworks and classified the artistic style by learning detailed style related features using deep neural networks, and the other was a model that took images of artworks and extracted style of each painter to use as a base for comparing a given pair of images painters. We achieved acceptable levels of accuracy after developing these models, which can be considerably improved if more data is provided and the models are given more training time. In this report, I will go over each step of the project's implementation in further depth.