{
  "version": "v1",
  "created": "2026-02-27",
  "description": "Augmented training dataset for GeoCrop crop classification",
  "source": "Manual labeling from high-resolution imagery + augmentation",
  "classes": ["cropland", "grass", "shrubland", "forest", "water", "builtup", "bare"],
  "features": ["ndvi_peak", "evi_peak", "savi_peak"],
  "total_samples": 25000,
  "spatial_extent": "Zimbabwe",
  "batches": 30
}