This is a deprecated media type.
Export JSON annotations
# Set the export params to include/exclude certain fields.
export_params= {
"attachments": True,
"metadata_fields": True,
"data_row_details": True,
"project_details": True,
"label_details": True,
"performance_details": True,
"interpolated_frames": True
}
# Note: Filters follow AND logic, so typically using one filter is sufficient.
filters= {
"last_activity_at": ["2000-01-01 00:00:00", "2050-01-01 00:00:00"],
"workflow_status": "<wkf-status>"
}
export_task = project.export(params=export_params, filters=filters)
export_task.wait_till_done()
# Return JSON output strings from export task results/errors, one by one:
# Callback used for JSON Converter
def json_stream_handler(output: lb.BufferedJsonConverterOutput):
print(output.json)
if export_task.has_errors():
export_task.get_buffered_stream(
stream_type=lb.StreamType.ERRORS
).start(stream_handler=lambda error: print(error))
if export_task.has_result():
export_json = export_task.get_buffered_stream(
stream_type=lb.StreamType.RESULT
).start(stream_handler=json_stream_handler)
print("file size: ", export_task.get_total_file_size(stream_type=lb.StreamType.RESULT))
print("line count: ", export_task.get_total_lines(stream_type=lb.StreamType.RESULT))
Annotation export formats
Polyline
{
"feature_id": "clftr46h2002014wq1lvtntzi",
"feature_schema_id": "clftr3ueu061407xe3eam5gfh",
"name": "line_dicom",
"value": "line_dicom",
"annotation_kind": "DICOMPolyline",
"classifications": [],
"line": [
{
"x": 10.0,
"y": 10.0
},
{
"x": 200.0,
"y": 10.0
},
{
"x": 300.0,
"y": 300.0
}
]
}
Mask
{
"feature_id": "clftr46h2001z14wqod253zyk",
"feature_schema_id": "clftr3ueu061207xeeezscu35",
"name": "segmentation_mask_dicom",
"value": "segmentation_mask_dicom",
"annotation_kind": "DICOMSegmentationMask",
"classifications": [],
"mask": {
"url": "https://api.labelbox.com/api/v1/projects/clftr3und00cd07tzalqk2z8b/annotations/clftr46h2001z14wqod253zyk/index/1/mask"
},
"composite_mask": {
"url": "https://api.labelbox.com/api/v1/tasks/cluu2f9wn02m907wc9n9thld2/masks/clftr45oa001x14wqj2jqd42l/index/1",
"color_rgb": [
255,
255,
255
]
}
}
Sample project export
{
"data_row": {
"id": "clftqkks0004g075we24j7za1",
"global_key": "sample-dicom-1.dcm",
"row_data": "https://storage.googleapis.com/labelbox-datasets/dicom-sample-data/sample-dicom-1.dcm",
"details": {
"dataset_id": "clftqkjaz1f1g07y3519udly1",
"dataset_name": "dicom_demo_dataset",
"created_at": "2023-03-29T13:42:10.000+00:00",
"updated_at": "2023-03-29T13:42:10.000+00:00",
"last_activity_at": "2023-03-29T13:57:25.000+00:00",
"created_by": "labelbox.public.user@labelbox.com"
}
},
"media_attributes": {
"mime_type": "application/dicom"
},
"attachments": [],
"metadata_fields": [],
"projects": {
"clftr3und00cd07tzalqk2z8b": {
"name": "dicom_project_demo",
"labels": [
{
"label_kind": "DICOM",
"version": "1.0.0",
"id": "clftr46hg002114wq5dfz8nj4",
"label_details": {
"created_at": "2023-03-29T13:57:25.000+00:00",
"updated_at": "2023-03-29T13:57:25.000+00:00",
"created_by": "aovalle@labelbox.com",
"content_last_updated_at": "2023-03-29T13:57:24.947+00:00",
"reviews": []
},
"performance_details": {
"seconds_to_create": 0,
"seconds_to_review": 0,
"skipped": false
},
"annotations": {
"groups": {
"Axial": {
"name": "Axial",
"classifications": [],
"frames": {
"1": {
"objects": {
"clftr46h2001z14wqod253zyk": {
"feature_id": "clftr46h2001z14wqod253zyk",
"feature_schema_id": "clftr3ueu061207xeeezscu35",
"name": "segmentation_mask_dicom",
"value": "segmentation_mask_dicom",
"annotation_kind": "DICOMSegmentationMask",
"classifications": [],
"mask": {
"url": "https://api.labelbox.com/api/v1/projects/clftr3und00cd07tzalqk2z8b/annotations/clftr46h2001z14wqod253zyk/index/1/mask"
},
"composite_mask": {
"url": "https://api.labelbox.com/api/v1/tasks/cluu2f9wn02m907wc9n9thld2/masks/clftr45oa001x14wqj2jqd42l/index/1",
"color_rgb": [
255,
255,
255
]
}
},
"clftr46h2002014wq1lvtntzi": {
"feature_id": "clftr46h2002014wq1lvtntzi",
"feature_schema_id": "clftr3ueu061407xe3eam5gfh",
"name": "line_dicom",
"value": "line_dicom",
"annotation_kind": "DICOMPolyline",
"classifications": [],
"line": [
{
"x": 10.0,
"y": 10.0
},
{
"x": 200.0,
"y": 20.0
},
{
"x": 250.0,
"y": 250.0
}
]
}
},
"classifications": []
},
"5": {
"objects": {
"clftr46h2001z14wqod253zyk": {
"feature_id": "clftr46h2001z14wqod253zyk",
"feature_schema_id": "clftr3ueu061207xeeezscu35",
"name": "segmentation_mask_dicom",
"value": "segmentation_mask_dicom",
"annotation_kind": "DICOMSegmentationMask",
"classifications": [],
"mask": {
"url": "https://api.labelbox.com/api/v1/projects/clftr3und00cd07tzalqk2z8b/annotations/clftr46h2001z14wqod253zyk/index/5/mask"
},
"composite_mask": {
"url": "https://api.labelbox.com/api/v1/tasks/cluu2f9wn02m907wc9n9thld2/masks/clftr45oa001x14wqj2jqd42l/index/5",
"color_rgb": [
255,
255,
255
]
}
}
},
"classifications": []
},
"20": {
"objects": {
"clftr46h2002014wq1lvtntzi": {
"feature_id": "clftr46h2002014wq1lvtntzi",
"feature_schema_id": "clftr3ueu061407xe3eam5gfh",
"name": "line_dicom",
"value": "line_dicom",
"annotation_kind": "DICOMPolyline",
"classifications": [],
"line": [
{
"x": 10.0,
"y": 10.0
},
{
"x": 200.0,
"y": 10.0
},
{
"x": 300.0,
"y": 300.0
}
]
}
},
"classifications": []
}
}
},
"Sagittal": {
"name": "Sagittal",
"classifications": [],
"frames": {}
},
"Coronal": {
"name": "Coronal",
"classifications": [],
"frames": {}
}
},
"segments": {
"Axial": {
"clftr46h2001z14wqod253zyk": [
[
1,
1
],
[
5,
5
]
],
"clftr46h2002014wq1lvtntzi": [
[
1,
1
],
[
20,
20
]
]
},
"Sagittal": {},
"Coronal": {}
},
"classifications": [],
"key_frame_feature_map": {
"clftr46h2001z14wqod253zyk": {
"Axial": {
"1": true,
"5": true
},
"Coronal": {},
"Sagittal": {}
},
"clftr46h2002014wq1lvtntzi": {
"Axial": {
"1": true,
"20": true
},
"Coronal": {},
"Sagittal": {}
}
}
}
}
],
"project_details": {
"ontology_id": "clftr3ue6061107xee0xp3v6l",
"task_name": "Done",
"batch_id": "9a35aca0-ce39-11ed-bcf8-d178e6a2361d",
"batch_name": "first-batch-dicom-demo",
"workflow_status": "DONE",
"priority": 5,
"consensus_expected_label_count": 1,
"workflow_history": []
}
}
}
}