# SID-UNet Evaluation Report

### Run Configuration & Hyperparameters

| Hyperparameter / Setting   | Configured Value                                         |
|----------------------------|----------------------------------------------------------|
| Project Name               | test_smoke                                               |
| Dataset                    | KhangTruong/IMD2020                                      |
| Splits                     | Train: 'train' | Val: 'validation' | Test: 'test'        |
| Streaming                  | False                                                    |
| Image Size                 | [32, 32]                                                 |
| Batch Size                 | 16                                                       |
| Epoch Limit / Steps        | 2 samples/epoch                                          |
| Model                      | unet (features=[8, 16], bilinear=True)                   |
| Aux Classifier             | False (classes=3)                                        |
| Mask Loss                  | Combined (BCE: 0.5, Dice: 0.5, Focal: 0.5)               |
| Aux Loss                   | cross_entropy (wt=0.2)                                   |
| Post-Processing            | Enabled (min_area=64, fill_holes=True, morph=open_close) |
| Optimizer                  | adamw (lr=0.001, wd=0.0001)                              |
| Scheduler                  | cosine                                                   |
| Epochs                     | 1                                                        |
| AMP                        | False                                                    |

### Overall Segmentation & Classification Metrics

| Metric           |   Value |
|------------------|---------|
| Test Bce Loss    |  0.6495 |
| Test Dice Loss   |  0.6683 |
| Test Focal Loss  |  0.0678 |
| Test Mask Loss   |  0.6928 |
| Test Total Loss  |  0.6928 |
| Test Iou         |  0.2061 |
| Test Dice        |  0.2918 |
| Test F1          |  0.2918 |
| Test Pixel F1    |  0.2918 |
| Test Auroc       |  0.7468 |
| Test Pixel Auroc |  0.7468 |
| Test Pixel Acc   |  0.6748 |
| Test Precision   |  0.5    |
| Test Recall      |  0.2061 |
| Test Specificity |  0.9688 |

### Per-Subset Metrics Breakdown

| Subset                            |   Mean IoU |   Dice / F1 |   Pixel Accuracy |   Sample Count |
|-----------------------------------|------------|-------------|------------------|----------------|
| Label 0 (Real / Black Mask)       |     0      |      0      |           0.9375 |              1 |
| Label 1 (Synthetic / White Mask)  |     0.4121 |      0.5837 |           0.4121 |              1 |
| Label 2 (Tampered / Partial Mask) |     0      |      0      |           0      |              0 |