Upload 3 files

model_config.json

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+{
+  "model_type": "phone_detection_cnn",
+  "architecture": "MobileNetV2_with_custom_head",
+  "input_shape": [
+    224,
+    224,
+    3
+  ],
+  "num_classes": 1,
+  "task": "binary_classification",
+  "classes": {
+    "0": "negative",
+    "1": "positive"
+  },
+  "training_parameters": {
+    "batch_size": 32,
+    "learning_rate": 0.001,
+    "optimizer": "Adam",
+    "loss_function": "binary_crossentropy",
+    "metrics": [
+      "accuracy"
+    ],
+    "epochs": 50
+  },
+  "data_augmentation": {
+    "rotation_range": 20,
+    "width_shift_range": 0.2,
+    "height_shift_range": 0.2,
+    "horizontal_flip": true,
+    "zoom_range": 0.2,
+    "shear_range": 0.2,
+    "fill_mode": "nearest"
+  },
+  "model_layers": {
+    "base_model": "MobileNetV2",
+    "base_model_trainable": false,
+    "custom_layers": [
+      "GlobalAveragePooling2D",
+      "Dense_128_relu",
+      "Dropout_0.3",
+      "Dense_64_relu",
+      "Dropout_0.2",
+      "Dense_1_sigmoid"
+    ]
+  },
+  "performance": {
+    "validation_accuracy": 0.8079096078872681,
+    "validation_loss": 0.4199891686439514
+  },
+  "dataset_info": {
+    "total_images": 888,
+    "training_samples": 711,
+    "validation_samples": 177,
+    "class_distribution": {
+      "positive": 540,
+      "negative": 348
+    }
+  }
+}

phone_detection_model.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:11d65a69ed7ca5553cea5976171a9939931c49b02a1abb6eb1296a6ef8887f54
+size 11479248

preprocessor_config(1).json

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+{
+  "preprocessing": {
+    "image_size": [
+      224,
+      224
+    ],
+    "color_mode": "rgb",
+    "normalization": {
+      "rescale": 0.00392156862745098,
+      "description": "Pixel values normalized to [0,1]"
+    },
+    "data_format": "channels_last"
+  },
+  "data_pipeline": {
+    "training_augmentation": {
+      "rotation_range": 20,
+      "width_shift_range": 0.2,
+      "height_shift_range": 0.2,
+      "horizontal_flip": true,
+      "zoom_range": 0.2,
+      "shear_range": 0.2,
+      "fill_mode": "nearest"
+    },
+    "validation_processing": {
+      "rescale_only": true
+    }
+  },
+  "input_requirements": {
+    "image_formats": [
+      ".jpg",
+      ".jpeg",
+      ".png"
+    ],
+    "color_channels": 3,
+    "expected_range": [
+      0,
+      255
+    ],
+    "batch_processing": true
+  },
+  "output_processing": {
+    "prediction_threshold": 0.5,
+    "class_mapping": {
+      "negative": 0,
+      "positive": 1
+    },
+    "confidence_scoring": true
+  },
+  "compatibility": {
+    "framework": "tensorflow",
+    "versions": [
+      "2.x"
+    ],
+    "formats": [
+      ".h5",
+      ".tflite"
+    ]
+  }
+}