Back
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
View author website
Task
Semantic Segmentation
Annotation Types
Semantic Segmentation
5000
Items
333
Classes
5000
Labels
Models using this dataset
Last updated on
October 31, 2023
Licensed under
CC-BY-NC-SA
