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MVTec AD
A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection
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.
The MVTec Anomaly Detection
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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
