MVTec AD Dataset

The authors of the MVTec AD: the MVTec Anomaly Detection dataset addressed the critical task of detecting anomalous structures within natural image data, a crucial aspect of computer vision applications. To facilitate the development of methods for unsupervised anomaly detection, they introduced the MVTec AD dataset, comprising 5354 high-resolution color images encompassing various object and texture categories. The dataset comprises both normal images, intended for training, and images with anomalies, designed for testing. These anomalies manifest in over 70 distinct types of defects, including scratches, dents, contaminations, and structural alterations. The authors also provided pixel-precise ground truth annotations for all anomalies.

该数据集由 MVTec AD（MVTec 异常检测）的作者所创建，旨在解决自然图像数据中异常结构检测这一计算机视觉应用中的关键任务。为促进无监督异常检测方法的发展，作者们推出了 MVTec AD 数据集，该数据集包含了涵盖多种物体和纹理类别的5354张高分辨率彩色图像。该数据集既包含用于训练的正常图像，也包含用于测试的异常图像。这些异常以超过70种不同的缺陷形式呈现，包括划痕、凹痕、污染和结构变化。此外，作者们还为所有异常提供了像素级的精确标注。

搜集汇总

背景与挑战

背景概述

MVTec AD Dataset是一个用于无监督异常检测的计算机视觉数据集，包含5354张高分辨率彩色图像，涵盖多种物体和纹理类别。数据集提供正常图像用于训练，异常图像用于测试，异常类型超过70种（如划痕、凹痕等），并配有像素级精确的真实标注，以支持开发高效异常检测方法。