Smart Light Touch Area Detection Dataset

The current retail e-commerce industry faces a lack of user interaction experience, especially in the use of smart lighting, where traditional touch methods often fail to meet user needs. Existing solutions often rely on physical buttons, limiting the flexibility of design and failing to effectively identify user interaction intentions. This dataset aims to address the issue of identifying interaction points for 'intangible buttons', helping to enhance the user experience of smart lighting. The dataset contains images captured by high-quality cameras under natural and artificial lighting conditions. These images have undergone multiple rounds of annotation and consistency checks to ensure high quality. The data is stored in JPG format, organized by category and label to facilitate subsequent model training and application.