Metal Bolt Detection Dataset

The current industrial sector faces significant challenges in ensuring the quality and safety of components like metal bolts used in machinery. Existing inspection methods often rely on manual checks, which can be inconsistent and error-prone. This dataset aims to address the need for an automated solution that enhances accuracy and efficiency in bolt detection. The dataset consists of images captured in controlled environments using high-resolution cameras, with rigorous quality control protocols involving multiple annotation rounds and expert reviews to ensure data integrity. The data is stored in JPEG format, organized into structured folders for easy access and processing.