{
  "dataset_name": "Gatekeeper Binary Dataset (Preprocessed)",
  "purpose": "Binary gatekeeper for cervix detection before MedSigLip",
  "original_image_size": "448x448",
  "preprocessed_image_size": "224x224",
  "normalization": "[-1, 1] with mean=[0.5, 0.5, 0.5], std=[0.5, 0.5, 0.5]",
  "total_samples": 11547,
  "classes": {
    "cervix": {
      "label": 1,
      "count": 5543
    },
    "not_cervix": {
      "label": 0,
      "count": 6004
    }
  },
  "split": {
    "train": "70%",
    "validation": "15%",
    "test": "15%"
  },
  "stratified": true,
  "balance_ratio": "0.923",
  "model": "MobileNetV3-Small",
  "threshold": 0.70,
  "input_shape": [224, 224, 3],
  "note": "Images have been resized to 224x224 and normalized to [-1, 1]. This file describes the version used for training the gatekeeper model."
}