serving.json

{
  "weights": "model.keras",
  "input": {
    "size": [
      224,
      224
    ],
    "channels": 3,
    "dtype": "float32",
    "range": [
      0,
      1
    ],
    "note": "Resize to size, divide by 255. Per-backbone normalisation happens inside the model."
  },
  "output": {
    "name": "probability_real",
    "range": [
      0,
      1
    ],
    "note": "P(image is Real). Fake is 1 - p."
  },
  "params": 45406737,
  "decision": {
    "threshold": 0.36217108368873596,
    "temperature": 0.8760257766124369,
    "criterion": "target_recall",
    "calibrated": true
  },
  "tta": {
    "recommended": true,
    "transform": "horizontal_flip",
    "note": "Average P(Real) over the image and its mirror.",
    "used_in_eval": true
  },
  "test_metrics": {
    "accuracy": 0.948,
    "roc_auc": 0.989896,
    "pr_auc": 0.9899874925285668,
    "real_called_fake": 25,
    "false_accusation_rate": 0.025
  }
}