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3D Anomaly Classification research benchmarks · SOTA2 Research

3D Anomaly Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

Eyecandies (one-vs-rest)

71.3Object Recall

7

May 8, 2026

MVTec3D-AD (one-vs-rest)

83Object-level Recall

7

May 8, 2026

Eyecandies (test)

70.7Object Recall (AUROC)

5

May 8, 2026

Popular datasets

Eyecandies MVTec 3D-AD

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