Vacuum Cleaner Control Area Detection Dataset

With the rapid development of retail e-commerce, the application of smart home products is becoming increasingly widespread. Vacuum cleaners, as an important household appliance, face challenges such as inconvenient user interaction and unclear control areas. Current solutions mostly rely on traditional physical buttons or remote controls, lacking intelligent interaction methods. This dataset aims to address the need for vacuum cleaners in user control area recognition and function switching through object detection technology. Data collection methods include using high-resolution cameras to capture vacuum cleaner operation scenarios in real home environments, ensuring diversity and realism. For data quality control, we adopted multiple rounds of annotation and consistency checks to ensure annotation accuracy. Data is stored in JPG format, organized into image and corresponding annotation information files. This dataset will provide important support for research in the smart home domain.