Wire Harness Interface Detection Dataset

The wire harness industry faces significant challenges regarding the accuracy and efficiency of connector interface detection, leading to potential failures in automotive and industrial applications. Existing solutions often lack precision, resulting in costly errors and production delays. This dataset aims to address the technical issue of misalignment and incorrect connections by providing high-quality annotated images that enhance machine learning models for better detection and classification. Data was collected using high-resolution cameras in controlled lighting environments, ensuring clarity and detail. Quality control measures included multiple rounds of annotation and expert reviews to guarantee consistency and accuracy. The dataset is organized in JPG format, with images labeled according to specific error types and connector classifications. Each image is accompanied by relevant metadata to facilitate training and evaluation.