{
  "$type": "site.standard.document",
  "description": "A training system and method identifies pixels in an image that fall within a desired range of uncertainty and uses them to train a machine learning model. Predicted pixel classification probability values may be normalized. A count of normalized predicted pixel classification probability values…",
  "path": "/patents/1344241",
  "publishedAt": "2023-05-25T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "G06V10/774",
    "DEKA Products Limited Partnership"
  ],
  "textContent": "A training system and method identifies pixels in an image that fall within a desired range of uncertainty and uses them to train a machine learning model. Predicted pixel classification probability values may be normalized. A count of normalized predicted pixel classification probability values that fall within the range of uncertainty may be obtained for each classification label. For each classification label, the count may be divided by the total number of normalized predicted pixel classification probability values to generate an associated uncertainty ratio. Pixels of an under-represented classification label that has an uncertainty ratio in the desired range of uncertainty may be used to train the machine learning model.",
  "title": "TRAINING SYSTEM AND METHOD"
}