Electric Rice Cooker Switch Button Failure Detection Dataset

Currently, the industrial sector faces significant challenges in the quality control of electric rice cooker switch buttons. The existing solutions often lack precision in detecting failure modes such as elasticity loss or jamming, leading to inefficiencies in manufacturing processes. This dataset aims to address the technical issue of accurately identifying these failure modes through high-quality image data. The data is collected using high-resolution cameras in controlled environments to ensure clarity and detail. Quality control measures include multiple rounds of annotation and consistency checks to guarantee accuracy. The images are stored in JPG format organized by failure type for easy access and analysis. The core advantages of this dataset include high data quality with over 95% annotation accuracy, innovative data collection techniques that improve the detection of subtle failure signs, and significant application value, shown by a 30% increase in defect detection rates in preliminary tests compared to existing datasets. This enables manufacturers to enhance product reliability and reduce warranty claims effectively.