MVTec LOCO AD Dataset

MVTec Logical Constraints Anomaly Detection (MVTec LOCO AD) dataset is intended for the evaluation of unsupervised anomaly localization algorithms. The dataset includes both structural and logical anomalies. It contains 3644 images from five different categories inspired by real-world industrial inspection scenarios. Structural anomalies appear as scratches, dents, or contaminations in the manufactured products. Logical anomalies violate underlying constraints, e.g., a permissible object being present in an invalid location or a required object not being present at all. The dataset also includes pixel-precise ground truth data for each anomalous region.

MVTec逻辑约束异常检测（MVTec LOCO AD）数据集旨在评估无监督异常定位算法。该数据集包含结构性和逻辑性异常，共计3644张图像，分为五大类别，灵感源自现实工业检测场景。结构性异常表现为制造产品上的划痕、凹痕或污染物。逻辑性异常违反了基本约束，例如，允许存在的物体出现在无效位置，或必需的物体完全缺失。此外，该数据集还包含每个异常区域的像素级精确地面实况数据。