Exhaust Pipe Detection Dataset

The current industrial sector faces significant challenges in ensuring the quality and proper assembly of exhaust systems, particularly with the risk of misassembled exhaust pipes leading to performance issues and environmental concerns. Existing solutions often lack the capability to accurately detect these misassemblies in real-time, leading to inefficiencies and potential safety hazards. This dataset aims to address these technical challenges by providing high-quality images of exhaust pipes, labeled for various assembly errors and layout confirmations. The data was collected using high-resolution cameras in controlled factory environments, ensuring optimal lighting and consistency. Quality control measures include multiple rounds of annotation, inter-annotator agreement checks, and reviews by domain experts. The images are stored in JPG format, organized by folders corresponding to different error types.