DOWNLOAD ANNOTATIONS
Download Annotations

3min
Download Annotations
After annotations are ordered for a scene they will be produced, reviewed and quality-controlled within the Kognic Platform.
Once the annotations are made delivery-ready and are exported, they can be downloaded in the OpenLABEL Format﻿ .
Annotations for a Scene
Python
from kognic.io.client import KognicIOClient

client = KognicIOClient()

for annotation in client.annotation.get_annotations_for_scene(scene_uuid=scene_uuid):
    openlabel_dict = annotation.content
    # ...
from kognic.io.client import KognicIOClient

client = KognicIOClient()

for annotation in client.annotation.get_annotations_for_scene(scene_uuid=scene_uuid):
    openlabel_dict = annotation.content
    # ...
﻿
This method returns all delivered annotations in the form of Annotation objects, containing the OpenLABEL json, using a Scene UUID.
Annotations for a Project or Batch
Python
from kognic.io.client import KognicIOClient

client = KognicIOClient()

# Get generator with annotations
annotations = client.annotation.get_project_annotations(project="project-identifier",
                                                        batch="batch-identifier",
                                                        annotation_type="annotation-type")
for annotation in annotations:
    openlabel_dict = annotation.content
    # ...
from kognic.io.client import KognicIOClient

client = KognicIOClient()

# Get generator with annotations
annotations = client.annotation.get_project_annotations(project="project-identifier",
                                                        batch="batch-identifier",
                                                        annotation_type="annotation-type")
for annotation in annotations:
    openlabel_dict = annotation.content
    # ...
﻿
This example fetches annotations for an entire project or batch. This retrieves Annotation objects for all delivered annotations for the given project, batch and annotation_type.
Coordinate Systems
OpenLABEL Format