Hive’s OCR moderation model outputs semantically grouped and ordered text blocks in their natural reading order accompanied by a set of classifications, timestamps and indexes.
{
"status": [
{
"status": {
"code": "0",
"message": "SUCCESS"
},
"response": {
"input": "...",
"output": [
{
"time": 0,
"frame_results": [
{
"block_text": "Hey Hello How are you!!!",
"start_char_index": 0,
"end_char_index": 24,
"custom_classes": [],
"text_filters": [],
"pii_entities": [],
"classes": [
{
"class": "spam",
"score": 0
},
{
"class": "sexual",
"score": 0
},
{
"class": "hate",
"score": 0
},
{
"class": "violence",
"score": 0
},
{
"class": "bullying",
"score": 0
}
],
"bounding_poly": [
{
"classes": [
{
"class": "Hey",
"score": 0.9999999917553856
}
],
"dimensions": {
"left": 12.1875,
"right": 54.375,
"top": 90,
"bottom": 110.625
},
"vertices": [
{
"x": 12.1875,
"y": 110.625
},
{
"x": 12.1875,
"y": 90
},
{
"x": 54.375,
"y": 90
},
{
"x": 54.375,
"y": 110.625
}
],
"meta": {
"score": 0.9998763799667358,
"label": "text"
}
},
{
"classes": [
{
"class": "Hello",
"score": 0.9999999917553853
}
],
"dimensions": {
"left": 11.875,
"right": 67.5,
"top": 115.625,
"bottom": 132.1875
},
"vertices": [
{
"x": 11.875,
"y": 132.1875
},
{
"x": 11.875,
"y": 115.625
},
{
"x": 67.5,
"y": 115.625
},
{
"x": 67.5,
"y": 132.1875
}
],
"meta": {
"score": 0.9998019337654114,
"label": "text"
}
},
{
"classes": [
{
"class": "How",
"score": 0.9999999917553853
}
],
"dimensions": {
"left": 12.5,
"right": 59.6875,
"top": 140.625,
"bottom": 157.1875
},
"vertices": [
{
"x": 12.5,
"y": 157.1875
},
{
"x": 12.5,
"y": 140.625
},
{
"x": 59.6875,
"y": 140.625
},
{
"x": 59.6875,
"y": 157.1875
}
],
"meta": {
"score": 0.9997391104698181,
"label": "text"
}
},
{
"classes": [
{
"class": "are",
"score": 0.9999999917553856
}
],
"dimensions": {
"left": 65.00000238418579,
"right": 99.68749761581421,
"top": 144.3750011920929,
"bottom": 157.1874988079071
},
"vertices": [
{
"x": 65.00000238418579,
"y": 157.1874988079071
},
{
"x": 65.00000238418579,
"y": 144.3750011920929
},
{
"x": 99.68749761581421,
"y": 144.3750011920929
},
{
"x": 99.68749761581421,
"y": 157.1874988079071
}
],
"meta": {
"score": 0.9997876286506653,
"label": "text"
}
},
{
"classes": [
{
"class": "you!!!",
"score": 0.9999999917553856
}
],
"dimensions": {
"left": 104.68748569488525,
"right": 163.7499761581421,
"top": 140.6250023841858,
"bottom": 160.9374976158142
},
"vertices": [
{
"x": 104.68748569488525,
"y": 160.9374976158142
},
{
"x": 104.68748569488525,
"y": 140.6250023841858
},
{
"x": 163.7499761581421,
"y": 140.6250023841858
},
{
"x": 163.7499761581421,
"y": 160.9374976158142
}
],
"meta": {
"score": 0.9998366832733154,
"label": "text"
}
}
]
}
]
}
]
}
}
]
}
Name | Description |
|---|---|
frame_results[j].bounding_poly[i].classes.0.class | Contains the transcribed characters for the detected word. |
frame_results[j].bounding_poly[i].classes.0.score | Contains the confidence score for the transcribed word. |
frame_results[j].bounding_poly[i].meta.score | Contains the confidence score for the detected word — irrespective of the transcription of that word. |
frame_results[j].classes | List of dictionaries of all output classes. Each dictionary contains the class name and the score. The scores range from 0 to 3 with 3 being the most severe. |
frame_results[j].classes.class | Name of predicted class. |
frame_results[j].classes.score | Score of predicted class. |
frame_results[j].classes.start_char_index | First character processed. |
frame_results[j].classes.end_char_index | Last character processed. |