Contamination Map Methodology

Vision / Dataset

MVTec AD 2

Eight anomaly detection scenarios (Can, Fabric, Fruit Jelly, Rice, Sheet Metal, Vial, Wall Plugs, Walnuts) with 8,004 high-resolution images in total. Training and validation sets contain only defect-free images (training captured under regular lighting). The test data is split into a public test set (TESTpub) with pixel-precise ground truth and two private test sets (TESTpriv, TESTpriv,mix) whose images are public but whose ground truth is held on an evaluation server; test images include several lighting conditions.

Also known as
MVTec AD2, MVTec-AD-2
Domain
manufacturing inspection
License
CC BY-NC-SA 4.0
Test items from
2025-03-27
Evidence
“arXiv:2503.21622v1 [cs.CV] 27 Mar 2025”
arxiv.org · paper · header · retrieved 2026-10-15
“All image data is available at https://www.mvtec.com/company/research/datasets/mvtec-ad-2.”
arxiv.org · paper · Abstract · retrieved 2026-10-15
Homepage
www.mvtec.com

Exposure by model

BenchmarkModelLevelReason
Industrial anomaly detection AA-CLIP, trained on MVTec AD (for VisA results) Unknown unknown for its base model OpenAI CLIP: training data not disclosed in enough detail
Industrial anomaly detection AA-CLIP, trained on VisA Unknown unknown for its base model OpenAI CLIP: training data not disclosed in enough detail
Industrial anomaly detection AdaCLIP, trained on all 14 datasets (demo model) Unknown unknown for its base model OpenAI CLIP: training data not disclosed in enough detail
Industrial anomaly detection AdaCLIP, trained on MVTec AD + ColonDB Unknown unknown for its base model OpenAI CLIP: training data not disclosed in enough detail
Industrial anomaly detection AdaCLIP, trained on VisA + ClinicDB Unknown unknown for its base model OpenAI CLIP: training data not disclosed in enough detail
Industrial anomaly detection AdaptCLIP, trained on MVTec AD Unknown unknown for its base model OpenAI CLIP: training data not disclosed in enough detail
Industrial anomaly detection AdaptCLIP, trained on VisA Unknown unknown for its base model OpenAI CLIP: training data not disclosed in enough detail
Industrial anomaly detection Anomaly-OneVision (Anomaly-OV) Unknown unknown for its base model LLaVA-OneVision: training data not disclosed in enough detail
Industrial anomaly detection AnomalyCLIP, trained on MVTec AD Unknown unknown for its base model OpenAI CLIP: training data not disclosed in enough detail
Industrial anomaly detection AnomalyCLIP, trained on VisA Unknown unknown for its base model OpenAI CLIP: training data not disclosed in enough detail
Industrial anomaly detection AnomalyDINO Unknown unknown for its base model DINOv2: training data not disclosed in enough detail
Industrial anomaly detection AnomalyGPT, unsupervised on MVTec AD Unknown training data not disclosed in enough detail
Industrial anomaly detection AnomalyGPT, supervised (demo model) Unknown training data not disclosed in enough detail
Industrial anomaly detection AnomalyGPT, unsupervised on VisA Unknown training data not disclosed in enough detail
Industrial anomaly detection APRIL-GAN (VAND 2023), trained on MVTec AD Unknown unknown for its base model OpenAI CLIP: training data not disclosed in enough detail
Industrial anomaly detection APRIL-GAN (VAND 2023), trained on VisA Unknown unknown for its base model OpenAI CLIP: training data not disclosed in enough detail
Industrial anomaly detection OpenAI CLIP Unknown training data not disclosed in enough detail
Industrial anomaly detection DINOv2 Unknown training data not disclosed in enough detail
Industrial anomaly detection DINOv3 (web / LVD-1689M models) Unknown training data not disclosed in enough detail
Industrial anomaly detection FiLo, trained on MVTec AD Unknown unknown for its base model OpenAI CLIP: training data not disclosed in enough detail
Industrial anomaly detection FiLo, trained on VisA Unknown unknown for its base model OpenAI CLIP: training data not disclosed in enough detail
Industrial anomaly detection WideResNet-50-2 (supervised ImageNet-1k, torchvision) Not seen absent from the complete list of training data
Industrial anomaly detection InCTRL, trained on MVTec AD Not seen absent from the complete list of training data and from its base models' data
Industrial anomaly detection InCTRL, trained on VisA Not seen absent from the complete list of training data and from its base models' data
Industrial anomaly detection MetaUAS Unknown training data not disclosed in enough detail
Industrial anomaly detection MuSc Unknown unknown for its base model OpenAI CLIP: training data not disclosed in enough detail
Industrial anomaly detection OpenCLIP (LAION-2B checkpoints) Not seen its test items were published from 2025-03-27, after the model's stated training-data cutoff (2022-01-31)
Industrial anomaly detection OpenCLIP (LAION-400M checkpoints) Not seen its test items were published from 2025-03-27, after the model's stated training-data cutoff (2021-12-31)
Industrial anomaly detection Segment Any Anomaly (SAA / SAA+) Unknown training data not disclosed in enough detail
Industrial anomaly detection SAM 2 / SAM 2.1 Unknown training data not disclosed in enough detail
Industrial anomaly detection Segment Anything Model (SAM) Not seen its test items were published from 2025-03-27, after the model's stated training-data cutoff (2022-12-31)
Industrial anomaly detection SigLIP 2 Not seen its test items were published from 2025-03-27, after the model's stated training-data cutoff (2022-12-31)
Industrial anomaly detection SigLIP Not seen its test items were published from 2025-03-27, after the model's stated training-data cutoff (2022-12-31)
Industrial anomaly detection UniVAD Unknown unknown for its base model OpenAI CLIP: training data not disclosed in enough detail
Industrial anomaly detection VCP-CLIP, trained on MVTec-AD Unknown unknown for its base model OpenAI CLIP: training data not disclosed in enough detail
Industrial anomaly detection VCP-CLIP, trained on VisA Unknown unknown for its base model OpenAI CLIP: training data not disclosed in enough detail
Industrial anomaly detection WinCLIP / WinCLIP+ Not seen absent from the complete list of training data and from its base models' data

Notes

A new dataset by the MVTec AD authors' group with new objects; neither source says it re-uses MVTec AD images, so no relation is recorded. published_from = arXiv v1 date (the paper states the image data is available). The official page cites an IJCV 2026 version. Download requires filling in a form.

Sources