Contamination Map Methodology

Vision / Dataset

KolektorSDD2

Surface-defect dataset of color images (about 230 x 630 pixels) of defective production items from Kolektor Group: 356 images with visible defects and 2979 without. Train set: 246 positive and 2085 negative images; test set: 110 positive and 894 negative images; defects annotated with fine-grained segmentation masks. Note: unlike the other datasets, the official train split contains defective images; anomaly-detection papers typically train on its negatives only (convention, not stated by the dataset authors).

Also known as
KSDD2, Kolektor Surface-Defect Dataset 2, KolektorSDD2
Domain
manufacturing inspection
License
CC BY-NC-SA 4.0
Test items from
2021-04-13
Evidence
“arXiv:2104.06064v1 [cs.CV] 13 Apr 2021”
arxiv.org · paper · header · retrieved 2026-10-15
“we also compiled and made publicly available a novel dataset termed KolektorSDD2”
arxiv.org · paper · Section 1 · retrieved 2026-10-15
Homepage
www.vicos.si

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: unknown for its base model SigLIP: 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 Unknown unknown for its base model OpenCLIP (LAION-400M checkpoints): training data not disclosed in enough detail
Industrial anomaly detection InCTRL, trained on VisA Unknown unknown for its base model OpenCLIP (LAION-400M checkpoints): training data not disclosed in enough detail
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) Unknown training data not disclosed in enough detail
Industrial anomaly detection OpenCLIP (LAION-400M checkpoints) Unknown training data not disclosed in enough detail
Industrial anomaly detection Segment Any Anomaly (SAA / SAA+) Unknown unknown for its base model Segment Anything Model (SAM): 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) Unknown training data not disclosed in enough detail
Industrial anomaly detection SigLIP 2 Unknown training data not disclosed in enough detail
Industrial anomaly detection SigLIP Unknown training data not disclosed in enough detail
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+ Unknown unknown for its base model OpenCLIP (LAION-400M checkpoints): training data not disclosed in enough detail

Notes

Downloaded as a single public zip (https://data.vicos.si/datasets/KSDD/KolektorSDD2.zip, no form). Distinct from the earlier KolektorSDD (KSDD); no source says KSDD2 re-uses KSDD images.

Sources