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config.json

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+{
+  "model_info": {
+    "name": "plant-detector",
+    "type": "ConvolutionalAutoencoder",
+    "framework": "PyTorch Lightning",
+    "task": "anomaly_detection",
+    "input_shape": [
+      3,
+      224,
+      224
+    ],
+    "latent_dim": 128
+  },
+  "training": {
+    "learning_rate": 0.0001,
+    "batch_size": 32,
+    "epochs": "N/A",
+    "latent_dim": 128,
+    "dataset_size": "N/A"
+  },
+  "metrics": {
+    "threshold": 0.5687,
+    "val_loss": "N/A",
+    "mean_reconstruction_error": "N/A",
+    "std_reconstruction_error": "N/A",
+    "anomaly_rate": "N/A"
+  },
+  "normalization": {
+    "mean": [
+      0.4682,
+      0.4865,
+      0.305
+    ],
+    "std": [
+      0.2064,
+      0.1995,
+      0.1961
+    ]
+  },
+  "usage": {
+    "threshold": 0.5687,
+    "input_preprocessing": "Resize to 224x224, normalize with mean/std",
+    "output_interpretation": "Lower reconstruction error = more plant-like"
+  }
+}