Export format detail
JSON export format
{
"ID": "label_id",
"DataRow ID": "datarow_id",
"Labeled Data": "url to labeled image",
"Label": {
"objects": [],
"classifications": []
},
"Created By": "email of person to edit label",
"Project Name": "project name",
"Created At": "date time created",
"Updated At": "date time updated",
"Seconds to Label": time in seconds,
"External ID": datarow external id,
"Agreement": calculated consensus score,
"Benchmark Agreement": calculated consensus score against benchmark,
"Benchmark ID": benchmark label was scored against,
"Benchmark Reference ID": points to benchmark,
"Dataset Name": "datasest name",
"Reviews": [],
"View Label": "url to label view in interface"
}Expanding the Label object
We expanded the Label object to provide more information for each class (annotation). The key change is that, instead of each class name appearing as a key at the root of Label, objects and classifications are now the keys at the root and information for each class is distributed between the two properties.
Objects
The objects property contains the 2D annotation data for each feature on the image. Each feature created by the image segmentation, bounding box, line, and point tools may or may not have a class. Geometric features (bounding box, line, and point) will contain the geometry key in x-y coordinates. Features created by the image segmentation tool will contain an additional instanceURI property.
Classifications
The classifications property contains the image classification data for the image (these are the questions in the UI). The data type for the answer depends on how the image classification was entered: text input will be a string, radio input will be an object, and checkbox or dropdown input will be an array.
This code sample compares the old label format and the new label format for a bounding box.
// legacy image editor label format
{
"bounding_box_class_one": [
{
// instance one
geometry: [
{
x: 10, y: 10
},
{
x: 20, y: 10
},
{
x: 20, y: 20
},
{
x:10, y: 20
}
]
}
],
"text_question": "the text questions answer"
}
// equivalent label in new format
{
"objects": [
{
"featureId": "",
"title": "Bounding box class one",
"value": "bounding_box_class_one",
"featureSchemaId": "[Unique ID of the bbox_class_one class]",
"bbox": {
"top": 10,
"left": 10,
"height": 10,
"width": 10
}
}
],
"classifications": [
{
"featureId": "[Unique ID of answer instance to question]",
"title": "Text Question",
"value": "text_question",
"featureSchemaId": "[Unique ID of the bbox_class_one class]",
"answer": "the text questions answer"
}
]
}
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