{
  "architecture": "ResNet50", 
  "dataset_transform": "cifar10",
  "num_classes": 10,
  "id2label": {
    "0": 'airplane',
    "1": 'automobile',
    "2": 'bird',
    "3": 'cat',
    "4": 'deer',
    "5": 'dog',
    "6": 'frog',
    "7": 'horse',
    "8": 'ship',
    "9": 'truck'
  }
}