Overview
FabricEyes-ACD is a large-scale, richly annotated dataset for Anomaly Change Detection (ACD) in textiles. It contains 21,056 image pairs across 160+ product types and 12 anomaly categories.
- 21,056 image pairs (42,112 images total)
- 12 distinct anomaly categories
- Natural production defects
- 10 pixels/mm resolution, minimum detectability: 3 pixels
- Detailed annotations: bounding boxes, pixel masks, text labels
Anomaly Categories
Blocking
Broken Color Pattern
Color Variance
Color Bleeding
Color Out
Hole
Seam Pucker
Pseudo Color
Desizing
Stain
Water Stain
White Bar
Directory Structure
FabricEyes-ACD/
├── v1/
│ ├── train/{template, sample, label}
│ ├── val/{template, sample, label}
│ └── test/{template, sample, label}
├── v2/ (more real-world defect data)
└── v3/ (adds classification labels)
Comparison with Other Datasets
| Dataset | Classes | Defects | Images | Segmentation | Text | Complex BG | Natural Defect |
|---|---|---|---|---|---|---|---|
| KolektorSDD | 1 | 2 | 399 | ✓ | ✗ | ✗ | ✗ |
| MVTec AD | 15 | 2 | 5,354 | ✓ | ✗ | ✗ | ✓ |
| VisA | 12 | 6 | 10,821 | ✓ | ✗ | ✓ | ✓ |
| FabricEyes-ACD | 160+ | 12 | 42,112 | ✓ | ✓ | ✓ | ✓ |
Experimental Results
| Category | ACDClip |
|---|---|
| mean of 90 test categories | 92.6 |
Show All Category Results
| Category | patchcore | RLR | DIAD | PromtAD | Winclip | BAN | STANet | Changeformer | ACDClip |
|---|---|---|---|---|---|---|---|---|---|
| black icons, grey background | 55.21 | 44.79 | 57.29 | 44.8 | 50.0 | 75.55 | 50.00 | 78.95 | 92.7 |
| black sawtooth, grey background | 35.79 | 29.44 | 59.47 | 61.1 | 62.78 | 63.16 | 50.55 | 91.21 | 93.9 |
| blue dots, red background | 91.03 | 95.04 | 88.33 | 93.2 | 58.86 | 79.67 | 50.87 | 93.04 | 98.7 |
| brown flower, red background | 58.85 | 96.88 | 73.96 | 100.0 | 68.75 | 75.65 | 52.00 | 93.20 | 100 |
| dim flower and green leaves, white background | 58.75 | 51.25 | 53.75 | 57.5 | 45.0 | 76.40 | 52.55 | 93.07 | 100 |
| multicolored flowers, red background | 53.15 | 37.11 | 63.25 | 63.3 | 56.79 | 56.17 | 56.18 | 78.61 | 66.4 |
| orange circle, black background | 79.23 | 94.56 | 82.06 | 95.2 | 40.12 | 56.03 | 56.08 | 78.75 | 99.6 |
| purple flower and leaves, black background | 46.30 | 58.65 | 56.48 | 76.9 | 21.15 | 58.17 | 56.09 | 80.12 | 92.3 |
| red green palace-style pattern | 75.21 | 88.90 | 77.80 | 79.4 | 63.03 | 58.74 | 56.09 | 80.34 | 97.5 |
| red rose and green leaves, yellow background | 36.61 | 39.29 | 63.39 | 29.5 | 66.07 | 58.68 | 56.07 | 80.33 | 91.1 |
| small white leaves, black background | 71.18 | 63.19 | 59.03 | 63.9 | 56.60 | 58.53 | 56.04 | 80.37 | 85.4 |
| white horseshoes, red background | 55.05 | 72.07 | 60.11 | 58.5 | 67.02 | 58.82 | 56.02 | 80.06 | 100 |
| white palm leaf, blue background | 38.54 | 34.38 | 56.25 | 68.8 | 47.92 | 58.85 | 56.00 | 80.09 | 99 |
| white red flower, black background | 69.74 | 73.68 | 55.26 | 68.4 | 53.29 | 58.78 | 56.00 | 79.97 | 95.4 |
| yellow red flower, black background | 59.21 | 63.16 | 54.61 | 94.7 | 52.63 | 58.85 | 56.03 | 80.01 | 100 |