Prompt tool type

Output

markdown_with_bbox

Outputs bounding box information, text, and class (type). The output is formatted as a list of JSONs:

[
  {
    "bbox": {
      "xmin": 0.16633729456384325,
      "ymin": 0.0969,
      "xmax": 0.3097820480404551,
      "ymax": 0.1102
    },
    "text": "## 1 Introduction",
    "type": "Section-header"
  }
]

markdown_with_no_bbox

Outputs markdown in reading order but no bounding box information:

{
    "text": "## 1 Introduction\n\nRecurrent neural networks,
    long short-term memory and gated recurrent neural
    networks in particular, have been firmly established as
    state of the art approaches in sequence modeling and
    transduction problems such as language modeling and
    machine translation. At each step the model is
    auto-regressive, consuming the previously generated
    symbols as additional input when generating the next.\n\n"
}

detection_only

Outputs bounding box information and class (type). The output is formatted as a list of JSONs:

[
  {
    "bbox": {
      "xmin": 0.16633729456384325,
      "ymin": 0.0969,
      "xmax": 0.3097820480404551,
      "ymax": 0.1102
    },
    "type": "Section-header"
  }
]
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