Chinese Landmark Recognition
Hao Wu, Min Chen · 2020 International Conference on Computing, Networking and Communications (ICNC) · 2020
Landmark recognition is a useful yet challenging task due to the lack of large annotated landmark datasets. Previous related work often neglects non-English speaking areas, such as Chinese landmarks. Tests using commercial landmark recognition APIs also indicate the incompleteness of such landmark data. Our project releases Chinese landmark and attraction dataset for recognition of human-made and natural landmarks in China. The dataset contains 42,548 images depicting 987 unique landmarks. Moreover, we build a landmark recognition model based on Convolution Neural Network and transfer learning techniques. Lastly, an iOS application is built based on our landmark recognition model. It allows user to do landmark prediction on images taken by camera and images from device gallery.