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Introduction
This is the extended VisA dataset with the ground truth segmentations for each defect types for each image. It represents the dataset along with the paper "MultiADS: Defect-aware Supervision for Multi-type Anomaly Detection and Segmentation in Zero-Shot Learning" which is published on ICCV 2025 conference.
Dataset Structure
VisA_Extended/
|-- candle/
|-----|--- Data/
|-----|-----|---- Anomaly_grouped/
|-----|-----|------------|----- 000/
|-----|-----|------------|------|---- image.jpg
|-----|-----|------------|------|---- masks/
|-----|-----|------------|------|------|---- missing.png
|-----|-----|------------|----- 001/
...
|-----|-----|---- Normal
|-----|-----|-------|-----0000.JPG
...
Citation
@article{MultiADS2025,
author = {Ylli Sadikaj and
Hongkuan Zhou and
Lavdim Halilaj and
Stefan Schmid and
Steffen Staab and
Claudia Plant},
title = {MultiADS: Defect-aware Supervision for Multi-type Anomaly Detection
and Segmentation in Zero-Shot Learning},
journal = {CoRR},
volume = {abs/2504.06740},
year = {2025}
}
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