Contamination Map Methodology

Vision / Model

InCTRL, trained on VisA

Organisation
Singapore Management University (Jiawen Zhu, Guansong Pang)
Family
InCTRL
Released
2024-03-11 (arXiv v1 submission date (https://arxiv.org/abs/2403.06495))
Checkpoints
Google Drive 'Pre-train Models' folder (file names not verified)
Weights
Unknown · Apache-2.0
Links
PaperCode

Training data disclosure: Full list

Level determined for 50% of benchmark cells.

“We train the model on the full dataset of VisA when evaluating the performance on MVTec AD.”
arxiv.org · paper · Appendix A · retrieved 2026-10-15

Built on

Everything these base models may have seen is inherited by InCTRL, trained on VisA.

Other declared training data

Benchmark cells

Industrial anomaly detection

Unknown MVTec AD · unknown for its base model OpenCLIP (LAION-400M checkpoints): training data not disclosed in enough detail

Not seen MVTec AD 2 · absent from the complete list of training data and from its base models' data

Evidence (6)
“We train the model on the full dataset of VisA when evaluating the performance on MVTec AD.”
arxiv.org · paper · Appendix A · retrieved 2026-10-15
“the same CLIP implementation, OpenCLIP [24], and its public pre-trained backbone ViT-B/16+ in our experiments.”
arxiv.org · paper · Section 4.1 · retrieved 2026-10-15
“_C.TRAIN.CHECKPOINT_FILE_PATH = "vit_b_16_plus_240-laion400m_e32-699c4b84.pt"”
raw.githubusercontent.com · code · open_clip/config/defaults.py · retrieved 2026-10-15
“The image-text-pairs have been extracted from the Common Crawl web data dump and are from random web pages crawled between 2014 and 2021.”
laion.ai · website · Concept and Content · retrieved 2026-10-15
“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

Not seen MVTec LOCO AD · absent from the complete list of training data and from its base models' data

Evidence (5)
“We train the model on the full dataset of VisA when evaluating the performance on MVTec AD.”
arxiv.org · paper · Appendix A · retrieved 2026-10-15
“the same CLIP implementation, OpenCLIP [24], and its public pre-trained backbone ViT-B/16+ in our experiments.”
arxiv.org · paper · Section 4.1 · retrieved 2026-10-15
“_C.TRAIN.CHECKPOINT_FILE_PATH = "vit_b_16_plus_240-laion400m_e32-699c4b84.pt"”
raw.githubusercontent.com · code · open_clip/config/defaults.py · retrieved 2026-10-15
“The image-text-pairs have been extracted from the Common Crawl web data dump and are from random web pages crawled between 2014 and 2021.”
laion.ai · website · Concept and Content · retrieved 2026-10-15
“Published: 22 February 2022”
link.springer.com · paper · article metadata · retrieved 2026-10-15

Test data seen VisA · in fine-tuning data: the whole dataset was used

Evidence (2)
“We train the model on the full dataset of VisA when evaluating the performance on MVTec AD.”
arxiv.org · paper · Appendix A · retrieved 2026-10-15
“When training GAD models with MVTec AD or VisA datasets, we utilize their complete datasets, including both training and test data.”
arxiv.org · paper · Table 4 caption · retrieved 2026-10-15

Not seen Real-IAD · absent from the complete list of training data and from its base models' data

Evidence (5)
“We train the model on the full dataset of VisA when evaluating the performance on MVTec AD.”
arxiv.org · paper · Appendix A · retrieved 2026-10-15
“the same CLIP implementation, OpenCLIP [24], and its public pre-trained backbone ViT-B/16+ in our experiments.”
arxiv.org · paper · Section 4.1 · retrieved 2026-10-15
“_C.TRAIN.CHECKPOINT_FILE_PATH = "vit_b_16_plus_240-laion400m_e32-699c4b84.pt"”
raw.githubusercontent.com · code · open_clip/config/defaults.py · retrieved 2026-10-15
“The image-text-pairs have been extracted from the Common Crawl web data dump and are from random web pages crawled between 2014 and 2021.”
laion.ai · website · Concept and Content · retrieved 2026-10-15
“arXiv:2403.12580v1 [cs.CV] 19 Mar 2024”
arxiv.org · paper · header · retrieved 2026-10-15

Unknown MPDD · unknown for its base model OpenCLIP (LAION-400M checkpoints): training data not disclosed in enough detail

Unknown BTAD · unknown for its base model OpenCLIP (LAION-400M checkpoints): training data not disclosed in enough detail

Unknown KolektorSDD2 · unknown for its base model OpenCLIP (LAION-400M checkpoints): training data not disclosed in enough detail

Notes

Used only for MVTec AD results. Whether a VisA-trained checkpoint is among the released Google Drive models was not verified.

Sources