{
  "model_type": "efficientnet_segformer",
  "num_classes": 3,
  "num_seg_classes": 1,
  "encoder_name": "efficientnet_b3",
  "decoder_dim": 256,
  "image_size": 224,
  "class_names": [
    "COVID-19",
    "Other Disease",
    "Healthy"
  ],
  "model_version": "1.0.0",
  "description": "Multi-task lung ultrasound analysis model for COVID-19 detection and B-line segmentation",
  "trained_on": "Mulago and Kiruddu Hospitals, Uganda",
  "performance": {
    "accuracy": 23.4,
    "precision": 39.96,
    "recall": 23.4,
    "f1_score": 17.87,
    "segmentation_quality": "good (localized B-lines)"
  }
}