Slide Rail and Guide Rail Target Detection Dataset

The current industry landscape faces challenges in ensuring the precision and quality of slide rail and guide rail inspections, particularly in automated production lines. Existing solutions often lack the ability to effectively detect defects such as unevenness and damage in real-time. This dataset aims to address these specific technical issues by providing a comprehensive collection of images annotated for object detection tasks, thereby meeting the growing business needs for quality assurance in industrial applications. Data was collected using high-resolution cameras in controlled manufacturing environments, ensuring consistent quality. Quality control measures include multiple rounds of annotation, consistency checks among annotators, and expert reviews to guarantee high accuracy. The dataset is organized in JPG format for images and JSON for annotations, facilitating easy access and integration into machine learning pipelines.