Image Token classification LayoutLMv3
Hello All,I want to do token classification on some PDFs. I converted them to an image and annotated it as it is Insurance document.I have used labelbox for annotation. My sample annotation look like this[
  {
    "data_row": {
      "id": "example123",
      "external_id": "SampleDocument_page_1.png",
      "row_data": "https://example.com/document/page1.png"
    },
    "media_attributes": {
      "height": 1700,
      "width": 2200,
      "mime_type": "image/png",
      "exif_rotation": "1"
    },
    "projects": {
      "project123": {
        "name": "Sample Project",
        "labels": [
          {
            "id": "label123",
            "annotations": {
              "objects": [
                {
                  "feature_id": "feature123",
                  "name": "Sample Text 1",
                  "bounding_box": {
                    "top": 100,
                    "left": 150,
                    "height": 50,
                    "width": 200
                  }
                },
                {
                  "feature_id": "feature124",
                  "name": "Sample Text 2",
                  "bounding_box": {
                    "top": 200,
                    "left": 250,
                    "height": 50,
                    "width": 200
                  }
                }
                // ... more objects
              ]
              // ... possibly more annotation types
            }
          }
          // ... possibly more labels
        ]
      }
      // ... possibly more projects
    }
    // ... possibly more top-level keys
  }
  // ... possibly more data rows
]
I want to use Layoutlmv3. I have been using sagemaker to train it but keep running into errors of the type of boxes. Can someone suggest me a good way to move forward?