Camera Module Parts Detection Dataset

The current industrial sector faces challenges in ensuring the consistency and quality of assembled camera modules. Traditional inspection methods are often time-consuming and prone to human error, leading to increased production costs and defective products. This dataset aims to address these challenges by providing a comprehensive collection of images for the automatic detection of defects in camera module parts, enhancing quality control processes. The dataset is constructed using high-resolution images captured in a controlled manufacturing environment, with multiple rounds of annotation and expert reviews to ensure high-quality labels. Images are stored in JPG format and organized by part type and defect labels for easy access and analysis. Quality control measures include multi-round annotations and consistency checks to maintain high accuracy.