| { |
| "project": "ParcelGuard", |
| "task": "reference-guided visual anomaly detection", |
| "backbone": "ResNet18", |
| "feature_layer": "layer2", |
| "input_size": [ |
| 224, |
| 224 |
| ], |
| "feature_map_shape": [ |
| 128, |
| 28, |
| 28 |
| ], |
| "scoring": "minimum cosine distance across references at each spatial location", |
| "primary_score": "95th percentile of spatial anomaly map", |
| "provisional_threshold": 0.7, |
| "threshold_status": "exploratory; not validated on held-out data", |
| "backbone_artifact": "parcelguard_resnet18_layer2.pt", |
| "inference_module": "src/predict.py", |
| "status": "experimental", |
| "experimental_classifier_artifacts": [ |
| "parcelguard_baseline.joblib", |
| "parcelguard_image_classifier.joblib" |
| ], |
| "primary_inference": { |
| "module": "src/predict.py", |
| "required_artifact": "parcelguard_resnet18_layer2.pt", |
| "scoring": "P95 of the spatial anomaly map", |
| "threshold": 0.7, |
| "threshold_status": "exploratory; not validated on held-out data" |
| } |
| } |
|
|
