dataset_metadata.json

{
  "created": "2026-04-08T10:39:09.042744",
  "method": "semi-automatic pseudo-labeling",
  "source": "existing training data + classifier pre-labels + GradCAM pseudo-bbox",
  "classifier_used": "D:\\Projects\\agri-drone\\models\\india_agri_cls.pt",
  "confidence_threshold": 0.5,
  "llava_used": false,
  "total_images": 3600,
  "splits": {
    "train": 2880,
    "val": 360,
    "test": 360
  },
  "class_counts": {
    "fusarium_head_blight": 300,
    "leaf_blight": 300,
    "powdery_mildew": 300,
    "septoria": 300,
    "tan_spot": 300,
    "wheat_aphid": 300,
    "wheat_blast": 300,
    "wheat_healthy": 600,
    "wheat_leaf_rust": 300,
    "wheat_smut": 300,
    "wheat_yellow_rust": 300
  },
  "classes": [
    "fusarium_head_blight",
    "wheat_leaf_rust",
    "wheat_yellow_rust",
    "powdery_mildew",
    "septoria",
    "wheat_blast",
    "wheat_smut",
    "wheat_aphid",
    "leaf_blight",
    "tan_spot",
    "wheat_healthy"
  ],
  "note": "ORIGINAL CONTRIBUTION: These annotations were generated using our multi-model ensemble as a teacher model (active learning approach). Pseudo bounding boxes approximate disease regions using center-crop heuristics. For publication, a subset should be manually verified."
}