Prompt tool type |
Output |
---|---|
|
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"
}
]
|
|
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"
}
|
|
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"
}
]
|