Masamsa/3d-print-failure-detection

该数据集是一个图像分类数据集，包含两个类别：正常（normal）和故障（failure）。数据集分为训练集（2171个示例）、验证集（271个示例）和测试集（272个示例），总大小约为581.56 MB。图像数据以image格式存储，标签为分类标签，其中0对应正常类，1对应故障类。

This dataset is an image classification dataset with two categories: normal and failure. It is divided into training set (2171 examples), validation set (271 examples), and test set (272 examples), with a total size of approximately 581.56 MB. The image data is stored in image format, and the labels are categorical, where 0 corresponds to the normal class and 1 to the failure class.