High-Temperature Silicone Component Detection Dataset

The high-temperature silicone component detection industry faces challenges in accurately monitoring and detecting defects in silicone parts used in high-temperature environments. Existing solutions often suffer from limitations such as inadequate detection rates and high false positives. This dataset aims to address the technological issues of precise defect detection and improve business needs for quality assurance. Data collection involved capturing images in controlled environments using high-resolution cameras under various thermal conditions. Quality control measures included multiple rounds of annotations, consistency checks, and expert reviews to ensure reliability. The data is organized in JPG format, with images stored in a structured directory based on temperature ranges and defect types.