Trash Can Lid Opening Area Detection Dataset

The current retail e-commerce industry faces challenges in waste sorting and processing, especially in high-traffic malls and streets. Effectively guiding customers to dispose of garbage is an urgent problem to resolve. Existing solutions rely mostly on human monitoring and simple prompts, lacking intelligent and automated technical support. The construction of this dataset aims to provide precise visual data for intelligent waste sorting robots so they can accurately identify the lid opening area of trash cans in different environments, thus improving the efficiency and accuracy of waste disposal. The dataset is collected using high-resolution cameras in real environments, ensuring coverage of different lighting, weather, and crowd conditions. To ensure data quality, multiple rounds of labeling and consistency checks were conducted, reviewed by professionals, and finally stored in JPEG format, organized by folders.