Circular objects

This abstract presents a dataset focused on circular objects within a production line environment, with diameters ranging from 30 to 70 cm. The dataset is designed to facilitate the development and evaluation of computer vision algorithms tailored for detecting and analyzing circular objects in industrial settings. It comprises a diverse collection of images captured under varying lighting conditions, backgrounds, orientations, and scales, mimicking real-world production line scenarios. Each image is annotated with bounding boxes or pixel-level masks to indicate the precise location and extent of the circular objects. Additionally, the dataset includes metadata such as object class labels and production line parameters, aiding in algorithm training and performance assessment. The availability of this dataset is intended to foster research and innovation in computer vision techniques tailored for industrial automation applications, ultimately enhancing efficiency, accuracy, and reliability in manufacturing processes.