3DVis: A Layer-wise Fused Deposition Modeling 3D Printer Fault Detection Dataset

Recently, a limited number of datasets that exist are used to detect errors in the printing process of the 3D printer. Limited datasets lead most researchers to dive into sensor data fault classification.The dataset is captured and labelled before being fed to the DL model. The image dataset is captured in a time-lapse video mode with a 15-second duration for each printing process. Next, the time-lapse is used to extract around 50 images per video. In total, 2297 images containing four classes are collected.Moreover, data augmentation is conducted to produce additional data for each class. Finally, the total image of 4261 is presented in this dataset.

近期，在现有的数据集中，仅有少数被用于检测3D打印机打印过程中的错误。由于数据集的局限性，大多数研究者开始深入探讨传感器数据故障分类。该数据集在输入深度学习模型之前进行了捕捉和标注。图像数据集以时间流逝视频模式捕捉，每个打印过程持续15秒。随后，利用时间流逝视频提取约50张图像。总计收集了包含四个类别的2297张图像。此外，还对数据进行增强处理，以为每个类别生成额外的数据。最终，本数据集呈现了总计4261张图像。