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MVTec AD

A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection

MVTec AD

MVTec AD is a dataset for benchmarking anomaly detection methods with a focus on industrial inspection. It contains over 5000 high-resolution images divided into fifteen different object and texture categories. Each category comprises a set of defect-free training images and a test set of images with various kinds of defects as well as images without defects.

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The MVTec Anomaly Detection
https://www.mvtec.com/company/research/datasets/mvtec-ad
Task
Semantic Segmentation
Annotation Types
Semantic Segmentation
5000
Items
333
Classes
5000
Labels
Models using this dataset
Last updated on 
January 20, 2022
Licensed under 
CC-BY-NC-SA
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