models/model_meta.json

{
  "model_name": "resnet50",
  "framework": "pytorch",
  "architecture": "resnet50",
  "task": "image-classification",
  "num_classes": 1000,
  "inputs": [
    {
      "name": "input",
      "shape": [
        1,
        3,
        224,
        224
      ],
      "dtype": "float32",
      "layout": "NCHW",
      "preprocess": "ImageNet normalization. Pulsar2: mean=[123.67, 116.28, 103.53], calibration_std=[58.4, 57.12, 57.38]"
    }
  ],
  "outputs": [
    {
      "name": "output",
      "shape": [
        1,
        1000
      ],
      "dtype": "float32",
      "semantic": "ImageNet class logits"
    }
  ],
  "opset": 18,
  "onnx_size_bytes": 102359372
}