model_config.json

{
  "model_name": "mobile_phone_usage_detector",
  "version": "1.0.0",
  "description": "A deep learning model to detect mobile phone usage in images",
  "task": "binary_classification",
  "classes": {
    "negative": 0,
    "positive": 1
  },
  "input_shape": [
    224,
    224,
    3
  ],
  "output_shape": [
    1
  ],
  "architecture": "MobileNetV2_with_custom_classifier",
  "training_parameters": {
    "batch_size": 32,
    "image_size": [
      224,
      224
    ],
    "learning_rate": 0.001,
    "optimizer": "Adam",
    "loss_function": "binary_crossentropy"
  },
  "performance_metrics": {
    "final_accuracy": 0.8418079018592834,
    "final_loss": 0.3918597102165222,
    "final_precision": 0.8508771657943726,
    "final_recall": 0.8981481194496155
  },
  "dataset_info": {
    "total_training_samples": 711,
    "total_validation_samples": 177,
    "dataset_source": "Kaggle - Mobile Phone Usage Dataset IITR"
  },
  "created_date": "2025-10-06T12:31:55.915981",
  "author": "Your Name",
  "license": "MIT"
}