Object detection job template
"TRANSCRIPTION_JOB": {
"content": {
"input": "<input type>"
},
"instruction": "<instruction>",
"mlTask": "TRANSCRIPTION",
"required": 1,
"isChild": false,
"autofill": false,
"isNew": true
}
For general information on the project JSON interface structure, refer to Generic project JSON interface template.
For information on how to use transcription in real-life labeling projects, refer to Transcription jobs.
Job-specific settings
Parameter | Value | Description |
---|---|---|
mlTask | "TRANSCRIPTION" | N/A |
input | "<input type>" | Input type. One of: - textField for generic input- number for numeric input- date for date (in the YYYY-MM-DD format) |
autofill | true or false | In Image, PDF and Text projects, you can define the behavior of a nested transcription task to either use or ignore the contents of its parent task. When autofill is set to true , the transcription will automatically be filled in with either of:- json_metadata contents whose coordinates match the coordinates of the parent bounding box- the contents of the parent NER annotation |
The structure of the transcription type job does not contain any categories.
For information on how the transcription jobs look in the exported jsonResponse
, refer to The structure of jsonResponse
for exported transcription jobs.