preprocessor_config.json

{
  "do_resize": true,
  "size": 224,
  "do_center_crop": true,
  "crop_size": 224,
  "do_normalize": true,
  "image_mean": [
    0.485,
    0.456,
    0.406
  ],
  "image_std": [
    0.229,
    0.224,
    0.225
  ],
  "do_rescale": true,
  "rescale_factor": 0.00392156862745098,
  "do_convert_rgb": true,
  "class_names": [
    "negative",
    "positive"
  ],
  "num_classes": 2,
  "model_type": "image_classification",
  "framework": "tensorflow",
  "dataset_info": {
    "dataset_name": "mobilephoneusagedatasetiitr",
    "training_samples": 711,
    "validation_samples": 177,
    "classes": {
      "negative": 0,
      "positive": 1
    }
  },
  "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"
  }
}