Application of the Faster R-CNN Algorithm in Scene Recognition Function Design
Xinyu Li, Xiaochun Lei, Rongfeng Chen, Feng Yizhou, Xiong Tianmin, Chen Junyan · 2019
The aim of smart tourism is to use information technology to improve the travel experience. The scene recognition proposed in this paper can enhance the self-guided tour experience, allowing visitors to understand the background and culture of the scenery better, thus achieving in-depth tourism and cultural tourism. Compared with other deep learning algorithms, the Faster R-CNN algorithm can improve the accuracy of scene recognition while ensuring speed. In this paper, the feasibility of the Faster R-CNN algorithm in the scene recognition function is verified by experiments, which has high theoretical value and commercial value.