Smart Curtain Image Classification Dataset

The current smart device industry is rapidly developing, and the market demand for electric curtains and remote-controlled curtains is continuously increasing. However, existing image recognition technologies have a low recognition rate in complex environments, leading to poor user experience. Existing solutions have shortcomings in both accuracy and real-time performance. This dataset aims to improve the recognition rate of electric curtains by providing diverse curtain images, meeting the market demand for smart home automation control. Data collection is done using high-resolution cameras under different lighting and angles to ensure image quality. We implement strict quality control measures, including multiple rounds of annotation and expert review, to ensure consistency and accuracy of the labels. Data is stored in JPG format and organized into folders by category for ease of use.