config.json

{
  "model_name": "Wheat Anomaly Detection Model (TensorFlow)",
  "tags": [
    "tensorflow",
    "resnet",
    "agriculture",
    "anomaly-detection"
  ],
  "license": "apache-2.0",
  "library_name": "tensorflow",
  "datasets": [
    "wheat-dataset"   // Replace with actual dataset name if available
  ],
  "model_type": "resnet50",
  "preprocessing": {
    "resize": 256,
    "center_crop": 224,
    "normalize": [0.485, 0.456, 0.406],
    "normalize_std": [0.229, 0.224, 0.225]
  },
  "framework": "tensorflow",
  "task": "image-classification",
  "pipeline_tag": "image-classification"
}