{
  "input": "RGB image, float32 pixel values in [0, 255] (the model normalizes internally; do NOT divide by 255)",
  "resize": "resize the shorter side to 256px, centre-crop to 256x256, then centre-crop to 224x224",
  "input_shape": [
    1,
    224,
    224,
    3
  ],
  "output": "softmax probabilities over 54 classes, in the order of classes.json"
}