Tourist Mobility Patterns: Faster R-CNN Versus YOLOv7 for Places of Interest Detection

Tourist Mobility Patterns: Faster R-CNN Versus YOLOv7 for Places of Interest Detection

The mobility of tourists plays a significant role in shaping their travel experiences and the overall dynamics of a destination. In recent years, the proliferation of social media platforms has provided a rich source of visual data, allowing us to leverage the abundance of pictures shared by tourist...

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Bibliographic Details
Main Authors: Intissar Hilali, Abdullah Alfazi, Nouha Arfaoui, Ridha Ejbali
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Conventional neural network
deep learning
faster R-CNN
image processing
object detection
tourist service
Online Access:https://ieeexplore.ieee.org/document/10323078/

Internet

https://ieeexplore.ieee.org/document/10323078/

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