---
license: cc-by-4.0
---
## 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}
}
```