JSON format
Data format
{
"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
andskipped
When to use
waiting_for_review
,waiting_for_collaborator_review
orwaiting_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
andvector
color: Color of the label.
annotations: Array of RLE (run-length encoding) objects for
segmentation
type or vector objects forvector
type, depends ontype
.
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