{
  "name": "EndoScope AI Compact U-Net",
  "input_size": 160,
  "parameters": 274849,
  "trained_epoch": 39,
  "supported_class": "polyp",
  "research_only": true,
  "checkpoint_sha256": "dcac0ac697b8fe0a69474d650bd5529bdc0df30fa73c3cb51b97ea4f80ed093e",
  "onnx_sha256": "d08600f05953829ff7ddc3648cb16a460b460090ce5004829667b042a22fc992",
  "opset": 17,
  "export_checks": [
    {
      "image": "01_polyp.jpg",
      "max_absolute_probability_error": 1.2516975402832031e-05
    },
    {
      "image": "02_sessile_polyp.jpg",
      "max_absolute_probability_error": 8.58306884765625e-06
    },
    {
      "image": "03_colon_polyp.jpg",
      "max_absolute_probability_error": 7.718801498413086e-06
    },
    {
      "image": "04_sessile_polyp.jpg",
      "max_absolute_probability_error": 2.562999725341797e-06
    },
    {
      "image": "05_stalked_polyp.jpg",
      "max_absolute_probability_error": 1.1920928955078125e-06
    }
  ],
  "runtime": "ONNX Runtime Web 1.30.0",
  "notice": "Scores are uncalibrated activations, not disease probabilities."
}