JSON format
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{
"filename": STRING,
"id": STRING,
"status": STRING,
"width": INTEGER,
"height": INTEGER,
"labels": [
{
"name": STRING,
"type": STRING,
"color": STRING,
"annotations": [RLE] or [vectors]
},
...
]
}filename: Name of the image, pathname included.
id: ID of the annotation data in Annostation.
status: Status of the image, the possible values are: new, in_progress, waiting_for_review, waiting_for_collaborator_review, waiting_for_owner_review, waiting_for_change, done and skipped
When to use waiting_for_review, waiting_for_collaborator_review or waiting_for_owner_review:
If the project of the image is not being collaborated, simply use waiting_for_review
If the project of the image is being collaborated and you want the image to be reviewed by project collaborator, use waiting_for_collaborator_review
If the project of the image is being collaborated and you want the image to be reviewed by the project owner, use waiting_for_owner_review
width: Width of the image.
height: Height of the image.
labels: Array of objects, each object represents a label in AnnoStation.
name: Name of the label.
type: Type of the label, the possible values are: segmentation and vector
color: Color of the label.
annotations: Array of RLE (run-length encoding) objects for segmentation type or vector objects for vector type, depends on type.
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