Microwave Button Panel Detection Dataset

The current retail e-commerce industry's automation equipment, such as microwave control panels, faces the need for rapid identification and positioning, especially in user interaction and operational behavior analysis. However, existing object detection systems have low accuracy in complex environments, unable to meet the needs of precise interface recognition. This dataset aims to improve the performance of object detection algorithms in such application scenarios by providing high-quality images of microwave button panels and their annotation information. The data collection process uses high-resolution cameras under standard lighting conditions, and multiple rounds of annotation and expert review ensure the quality of the data annotations, ultimately organized and stored in JPG format. The data is divided into training and test sets to ensure model generalization capability and accuracy.