| { |
| "model_name": "ELIAS-epiblepharon", |
| "model_type": "resnet18", |
| "architecture": "ResNet-18 (frozen ImageNet backbone + task-specific head)", |
| "task": "binary-image-classification", |
| "disease": "epiblepharon", |
| "num_classes": 2, |
| "id2label": { |
| "0": "control", |
| "1": "epiblepharon" |
| }, |
| "label2id": { |
| "control": 0, |
| "epiblepharon": 1 |
| }, |
| "image_size": 224, |
| "input_channels": 3, |
| "preprocessing": { |
| "resize": [224, 224], |
| "grayscale_to_3ch": true, |
| "normalize_mean": [0.485, 0.456, 0.406], |
| "normalize_std": [0.229, 0.224, 0.225] |
| }, |
| "training": { |
| "backbone_frozen": true, |
| "optimizer": "Adam", |
| "learning_rate": 0.001, |
| "epochs": 20, |
| "batch_size": 32, |
| "loss": "CrossEntropyLoss", |
| "validation": "StratifiedKFold(n_splits=5, random_state=42)" |
| }, |
| "performance": { |
| "auc": 0.93, |
| "validation_strategy": "5-fold cross-validation", |
| "note": "No fold collapse observed" |
| }, |
| "deployment": { |
| "ios_coreml": true, |
| "inference_latency_ms": "<1000", |
| "device": "iPhone 12+ (A14+ Neural Engine)", |
| "model_size_mb": "<50" |
| }, |
| "framework": "pytorch", |
| "torch_version": ">=2.0.0" |
| } |
|
|
