Layer-wise Imaging Dataset from Powder Bed Additive Manufacturing Processes for Machine Learning Applications (Peregrine v2021-03)

This dataset contains layer-wise powder bed images from three different powder bed printing technologies – laser powder bed fusion, electron beam powder bed fusion, and binder jetting. This dataset was collected and annotated using the internally-developed Peregrine software tool and is designed primarily to facilitate research into anomaly defect detection using image segmentation or similar techniques. A total of 20 layers are provided for each printing technology, with each layer of data consisting of one or more calibrated images and an annotation file containing pixel-wise ground truth labels. The ground truths were labeled by domain experts, typically printer technicians. Data in this release were collected at Oak Ridge National Laboratory between 2016 and 2020 and were compiled in March 2021.

本数据集包含来自三种不同粉末床打印技术——激光粉末床熔融（laser powder bed fusion）、电子束粉末床熔融（electron beam powder bed fusion）与粘结剂喷射（binder jetting）的逐层粉末床图像。
本数据集由内部开发的Peregrine软件工具完成采集与标注，主要用于支撑基于图像分割或同类技术的异常缺陷检测相关研究。
每种打印技术均提供20层数据，每一层数据包含一张或多张校准后图像，以及一份包含逐像素真实标注（ground truth）的标注文件。
该真实标注均由领域专家完成，通常为打印设备技术人员。
本次发布的数据采集于2016年至2020年间的橡树岭国家实验室（Oak Ridge National Laboratory），并于2021年3月完成汇编。