Hotel Front Desk Visitor Reception Image Dataset

Currently, hotel lobbies commonly face challenges in managing visitor flow during peak periods effectively. Relying on manual records is inefficient and prone to errors. Existing solutions primarily use traditional surveillance but lack adequate utilization and intelligent analysis capabilities. This dataset aims to promote the development of intelligent management systems to address technical issues such as automatic visitor flow recognition and visitor service efficiency optimization. Data collection is conducted through high-definition cameras deployed at the hotel front desk, covering a variety of visitor behavior scenarios to ensure environmental diversity. Multiple rounds of annotation and expert consistency checks are used to ensure data annotation quality, executed by a team with computer vision and hotel management experience, totaling 20 people. Data preprocessing includes image cleaning, normalization, and enhancement, finally stored in classification and annotation form in JPG format.