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Papers Benchmarks Datasets Tasks

MVTecAD dataset and benchmarks · SOTA2 Research

Research Datasets

MVTecAD

Benchmarks

Task NameDataset NameSOTA MethodSort

Task NameDataset NameSOTA ResultTrendResults

Anomaly Detection

MVTecAD (test)

100Bottle Score

55

Pixel-level Anomaly Localization

MVTecAD (test)

97.5AUROC

14

Anomaly Classification

MVTecAD Pareto distribution

96.55Ct AUROC (%)

14

Image-level Anomaly Detection

MVTecAD 4-shot

97.9I-F1

9

Image-level Anomaly Detection

MVTecAD 2-shot

97.7I-F1

9

Image-level Anomaly Detection

MVTecAD 1-shot

97.6I-F1

9

Anomaly Detection

MVTecAD

1.03GPU Cost (GB)

9

Anomaly Detection

MVTecAD

97.8AUROC

9

Anomaly Detection

MVTecAD Hard

97.6Image AUROC

8

Anomaly segmentation

MVTecAD step tail distribution K=1 (test)

94.19AUROC (Ct)

7

Anomaly segmentation

MVTecAD step tail distribution K=4 (test)

95.56Pixel AU-ROC (Ct)

7

Anomaly segmentation

MVTecAD Pareto tail distribution shape 0.6 (test)

96.08AUROC (Ct)

7

Anomaly Localization

MVTecAD one-for-one setting

99.4Carpet Score

7

Novelty Detection

MvTecAD regular ND

0.996AUROC

7

Anomaly Detection

MvTecAD 0% Corruptions

0.992I-AUROC

4

Popular tasks

Anomaly Detection Anomaly Segmentation Image-level Anomaly Detection Anomaly Classification Anomaly Localization

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