Dust Cup Not Closed Detection Dataset for Vacuum Cleaners

In the current industrial sector, vacuum cleaners, as important cleaning equipment, can have their suction and sealing performance severely affected if the dust cup is not closed, leading to a decrease in user experience. Existing detection methods mainly rely on manual inspection, which is inefficient and prone to misjudgment. This dataset aims to enhance the detection accuracy of dust cup closure status through machine vision technology, meeting the industrial need for efficient and accurate detection. The dataset is captured using high-resolution cameras in a standard environment to ensure image quality. We ensure the consistency and accuracy of annotations through multiple rounds of labeling and expert review, and it is ultimately stored in JPG format for ease of subsequent model training and testing.