| Summary: | 碩士 === 國立中央大學 === 資訊工程學系 === 107 === Artificial intelligence and deep learning are now widely used in various fields, For example,image recognition, electronic commerce, or the new media industry... its performance is much higher than the traditional way. In today's online world, restaurants often place photos of restaurants on the Internet for public reference, or Internet celebrities will share the restaurants they have visited to social media such as Instagram and Facebook, but the photos are dazzling and unfocused. So we want to design an application that can properly classify cluttered images for the user to see at a glance.
This paper uses convolutional neural network-Inception, combined with PCA's dimensionality reduction, to divide the messy pictures into five categories: food, menu, indoor scene, outdoor scene, and others. Imagenet is used as the Pretrain model, and then from Google map. The 93,000 pictures of various restaurant scenes were used as training data. The features of the Global Pooling layer captured by the PCA were inputted to the SVM for classification and the final classification result was obtained.
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