Kitchen Tableware Placement Image Dataset

The current smart home industry is developing rapidly, but challenges remain in object recognition and dynamic detection. Many existing solutions lack accuracy in recognition and understanding of complex placement scenarios. This dataset aims to improve the accuracy and efficiency of object recognition in home scenarios to meet the demand for high-precision data in smart homes. Data is collected by high-resolution cameras in various home environments, covering different times and lighting conditions. Quality control includes multiple rounds of manual annotation and expert review to ensure accuracy and consistency, carried out by a team of ten with computer vision backgrounds. Data preprocessing methods include image enhancement and normalization, stored in JPG format for easy retrieval and use.