Export image annotations

How to export image annotations and sample export formats.

Export as JSON

# 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

Bounding box

{
  "feature_id": "clrf5csvi6ofm07lsf9pygwvi",
  "feature_schema_id": "clrf5ck4a0b9b071paa9ncu15",
  "name": "bounding_box",
  "annotation_kind": "ImageBoundingBox",
  "classifications": [],
  "bounding_box": {
    "top": 1264.0,
    "left": 2096.0,
    "height": 425.0,
    "width": 144.0
  }
}

Polygon

{
  "feature_id": "clr0x0ol83tvt07ea4has2a4l",
  "feature_schema_id": "clpk2me9t02v707xn08cv4ve5",
  "name": "polygon",
  "annotation_kind": "ImagePolygon",
  "classifications": [],
  "polygon": [
    {
      "x": 1489.581,
      "y": 183.934
    },
    {
      "x": 1489.581,
      "y": 183.934
    }
  ]
}

Polyline

 {
   "feature_id": "clr0x0ol83tvk07eagehegjde",
   "feature_schema_id": "clpk2me9u02vh07xnfcmtbqvj",
   "name": "polyline",
   "annotation_kind": "ImagePolyline",
   "classifications": [],
   "line": [
     {
       "x": 2534.353,
       "y": 249.471
     },
     {
       "x": 90.929,
       "y": 326.412
     }
   ]
 }

Point

{
  "feature_id": "clr0x0ol83tvr07ea2fyl69g9",
  "feature_schema_id": "clpk2me9u02vf07xnbpk45wxa",
  "name": "point",
  "annotation_kind": "ImagePoint",
  "classifications": [],
  "point": {
    "x": 1166.606,
    "y": 1441.768
  }
}

Mask

Regardless of which tool is used to create a segmentation mask, the annotation will appear in the following form in the export. Whether you use AutoSegment, the brush tool, the pen tool, or the fill tool, all masks take the same format in exports.

Composite masks

Open this Colab for an interactive tutorial on exporting composite masks.

A composite mask is a cloud-hosted PNG file that contains all raster segmentation mask instances on a labeled data row (one composite mask per label).

This screenshot shows an example composite mask in PNG format. Here, the image has eight segmentation mask instances, each using the schema named "Human".

A labeled data row containing 8 instances of a segmentation mask named "Human".

A labeled data row containing 8 instances of a segmentation mask named "Human".

When you export data rows containing segmentation masks, you can use composite_mask.url to access all segmentation masks on that data row. To access a single instance of a segmentation mask, use the color_rgb values. The color_rgb value represents the color of a single annotation or instance mask in a label.

Sample composite masks export
{
  "feature_id": "clsivokxg00043b70xuf7x5tz",
  "feature_schema_id": "clsgbcaqw000j071t2ga23jnc",
  "name": "car",
  "value": "car",
  "annotation_kind": "ImageSegmentationMask",
  "classifications": [],
  "mask": {
    "url": "https://api.labelbox.com/api/v1/projects/clsivnieg050k074i2jqaa0c3/annotations/clsivokxg00043b70xuf7x5tz/index/1/mask"
  },
  "composite_mask": {
    // This URL contains all mask instances on the data row
    "url": "https://api.labelbox.com/api/v1/tasks/clsiw88n205mw072ke4n78y5o/masks/clsivok5f00023b70r1a4fgzy",
    // This RGB reflects a single mask instance
    "color_rgb": [
      31,
      185,
      101
    ]
  }
}

Access mask data

To access the mask data, you must pass your Labelbox API key stored in client.headers in an API request.

When you grab a URL from the mask annotation in the export, the project_id and feature_id will already be in place, as shown above. Here, we provide the framework for structuring a URL with any project ID and feature ID.

import urllib.request
from PIL import Image

# Provide a project ID and feature ID if using instance masks. Alternatively, replace the entire mask_url with a URL grabbed from your export.
project_id = ""
feature_id = ""

mask_url = f"https://api.labelbox.com/api/v1/projects/{project_id}/annotations/{feature_id}/index/1/mask"

# Instead of providing the individual variables, we recommend utilizing the URL from export for composite mask
composite_mask_url = f"https://api.labelbox.com/api/v1/tasks/{task_id}/masks/{composite_mask_id}/index/1"

# Make the API request
req = urllib.request.Request(mask_url, headers=client.headers)

# Optionally, print the image of the mask
image = Image.open(urllib.request.urlopen(req))
image

Relationship

{
  "feature_id": "clur69pfa00023b6rkftlkucz",
  "feature_schema_id": "cltd3vkc201ab07ts1f9dhpkt",
  "name": "relationship",
  "value": "relationship",
  "annotation_kind": "ImageUnidirectionalRelationship",
  "classifications": [],
  "unidirectional_relationship": {
    "source": "clur5tlyq1n2d07dcg9xldg90",
    "target": "clur5tlyr1n2l07dc1jsf15qo"
  }
}

Classification - radio

{
  "feature_id": "clur5tlyr1n2k07dcezk08npu",
  "feature_schema_id": "cltd3vkc201ad07ts3t78873p",
  "name": "radio_question",
  "value": "radio_question",
  "radio_answer": {
    "feature_id": "clur5tlyr1n2y07dcajpyg0d4",
    "feature_schema_id": "cltd3vkc201ag07tsfoc2bdpi",
    "name": "second_radio_answer",
    "value": "second_radio_answer",
    "classifications": []
  }
}

Classification - checklist

{
  "feature_id": "clur5tlyr1n2p07dchs791672",
  "feature_schema_id": "cltd3vkc201aj07tsait4cbzh",
  "name": "checklist_question",
  "value": "checklist_question",
  "checklist_answers": [
    {
      "feature_id": "clur5tlyr1n2z07dc3abv19e8",
      "feature_schema_id": "cltd3vkc201ak07tsfqxc740z",
      "name": "first_checklist_answer",
      "value": "first_checklist_answer",
      "classifications": []
    },
    {
      "feature_id": "clur5tlyr1n3007dc4vbr0628",
      "feature_schema_id": "cltd3vkc201am07ts7s9e7x7k",
      "name": "second_checklist_answer",
      "value": "second_checklist_answer",
      "classifications": []
    }
  ]
}

Classification - free-form text

{
  "feature_id": "clur5tlyr1n2g07dc7wdv7p5z",
  "feature_schema_id": "cltd3vkc201ap07ts58gma0bb",
  "name": "free_text",
  "value": "free_text",
  "text_answer": {
    "content": "sample text"
  }
}

Sample project export

{
  "data_row": {
    "id": "clf9spzxq029m071nehy60a6v",
    "global_key": "2560px-Kitano_Street_Kobe01s5s4110.jpeg",
    "row_data": "https://storage.googleapis.com/labelbox-datasets/image_sample_data/2560px-Kitano_Street_Kobe01s5s4110.jpeg",
    "details": {
      "dataset_id": "clf9spwgw04w207ymfwy826qv",
      "dataset_name": "demo_dataset_img",
      "created_at": "2023-03-15T14:46:58.000+00:00",
      "updated_at": "2023-03-15T14:46:58.000+00:00",
      "last_activity_at": "2024-04-08T16:34:01.000+00:00",
      "created_by": "[email protected]"
    }
  },
  "media_attributes": {
    "height": 1707,
    "width": 2560,
    "mime_type": "image/jpeg"
  },
  "attachments": [],
  "metadata_fields": [],
  "embeddings": [
    {
      "id": "cn1cywy1r077807zblvo0m884",
      "name": "my_custom_embedding_2048_dimensions",
      "dimensions": 2048,
      "is_custom": true,
      "values": [
        {
          "value": [
            1.1265901290930636,
            1.0413733599834287,
            1.3041214120015427,
            1.893491997791636 ... 
          ]
        }
      ]
    },
    {
      "id": "c200000000000000000000000",
      "name": "Image Embedding V2 (CLIP ViT-B/32)",
      "dimensions": 512,
      "is_custom": false,
      "values": [
        {
          "value": [
            -0.4192526042461395,
            -0.048827216029167175 ...
          ]
        }
      ]
    }
  ],
  "projects": {
    "cltd3vkju021907u63w2odj69": {
      "name": "Image Annotation Import Demo",
      "labels": [
        {
          "label_kind": "Default",
          "version": "1.0.0",
          "id": "clur5tlda1n2a07dc0i0zdd4k",
          "label_details": {
            "created_at": "2024-04-08T16:21:26.000+00:00",
            "updated_at": "2024-04-08T16:34:02.000+00:00",
            "created_by": "[email protected]",
            "content_last_updated_at": "2024-04-08T16:34:00.513+00:00",
            "reviews": []
          },
          "performance_details": {
            "seconds_to_create": 18,
            "seconds_to_review": 6,
            "skipped": false
          },
          "annotations": {
            "objects": [
              {
                "feature_id": "clur5tlyq1n2d07dcg9xldg90",
                "feature_schema_id": "cltd3vkc1019r07ts2lru4hi4",
                "name": "bounding_box",
                "value": "bounding_box",
                "annotation_kind": "ImageBoundingBox",
                "classifications": [],
                "bounding_box": {
                  "top": 1264.0,
                  "left": 2096.0,
                  "height": 425.0,
                  "width": 144.0
                }
              },
              {
                "feature_id": "clur5tlyr1n2f07dcf78sa4y5",
                "feature_schema_id": "cltd3vkc201a707ts9ullbhfo",
                "name": "point",
                "value": "point",
                "annotation_kind": "ImagePoint",
                "classifications": [],
                "point": {
                  "x": 1166.606,
                  "y": 1441.768
                }
              },
              {
                "feature_id": "clur5tlyr1n2h07dc1pxnhoj3",
                "feature_schema_id": "cltd3vkc1019t07ts2bk6hjjj",
                "name": "bbox_with_radio_subclass",
                "value": "bbox_with_radio_subclass",
                "annotation_kind": "ImageBoundingBox",
                "classifications": [
                  {
                    "feature_id": "clur5tlyr1n2v07dcbnnfh1ah",
                    "feature_schema_id": "cltd3vkc1019u07tsaari5i2k",
                    "name": "sub_radio_question",
                    "value": "sub_radio_question",
                    "radio_answer": {
                      "feature_id": "clur5tlyr1n3607dc98qpagxb",
                      "feature_schema_id": "cltd3vkc1019v07tsbow08f9u",
                      "name": "first_sub_radio_answer",
                      "value": "first_sub_radio_answer",
                      "classifications": []
                    }
                  }
                ],
                "bounding_box": {
                  "top": 933.0,
                  "left": 541.0,
                  "height": 191.0,
                  "width": 330.0
                }
              },
              {
                "feature_id": "clur5tlyr1n2j07dc50cs4e11",
                "feature_schema_id": "cltd3vkc201a907ts69dr5m86",
                "name": "polyline",
                "value": "polyline",
                "annotation_kind": "ImagePolyline",
                "classifications": [],
                "line": [
                  {
                    "x": 2534.353,
                    "y": 249.471
                  },
                  {
                    "x": 2429.492,
                    "y": 182.092
                  },
                  {
                    "x": 2294.322,
                    "y": 221.962
                  },
                  {
                    "x": 2224.491,
                    "y": 180.463
                  },
                  {
                    "x": 2136.123,
                    "y": 204.716
                  },
                  {
                    "x": 1712.247,
                    "y": 173.949
                  },
                  {
                    "x": 1703.838,
                    "y": 84.438
                  },
                  {
                    "x": 1579.772,
                    "y": 82.61
                  },
                  {
                    "x": 1583.442,
                    "y": 167.552
                  },
                  {
                    "x": 1478.869,
                    "y": 164.903
                  },
                  {
                    "x": 1418.941,
                    "y": 318.149
                  },
                  {
                    "x": 1243.128,
                    "y": 400.815
                  },
                  {
                    "x": 1022.067,
                    "y": 319.007
                  },
                  {
                    "x": 892.367,
                    "y": 379.216
                  },
                  {
                    "x": 670.273,
                    "y": 364.408
                  },
                  {
                    "x": 613.114,
                    "y": 288.16
                  },
                  {
                    "x": 377.559,
                    "y": 238.251
                  },
                  {
                    "x": 368.087,
                    "y": 185.064
                  },
                  {
                    "x": 246.557,
                    "y": 167.286
                  },
                  {
                    "x": 236.648,
                    "y": 285.61
                  },
                  {
                    "x": 90.929,
                    "y": 326.412
                  }
                ]
              },
              {
                "feature_id": "clur5tlyr1n2l07dc1jsf15qo",
                "feature_schema_id": "cltd3vkc1019r07ts2lru4hi4",
                "name": "bounding_box",
                "value": "bounding_box",
                "annotation_kind": "ImageBoundingBox",
                "classifications": [],
                "bounding_box": {
                  "top": 1346.0,
                  "left": 2272.0,
                  "height": 358.0,
                  "width": 144.0
                }
              },
              {
                "feature_id": "clur5tlyr1n2m07dc4x6xhzep",
                "feature_schema_id": "cltd3vkc1019z07ts7g1n3o5m",
                "name": "polygon",
                "value": "polygon",
                "annotation_kind": "ImagePolygon",
                "classifications": [],
                "polygon": [
                  {
                    "x": 1489.581,
                    "y": 183.934
                  },
                  {
                    "x": 2278.306,
                    "y": 256.885
                  },
                  {
                    "x": 2428.197,
                    "y": 200.437
                  },
                  {
                    "x": 2560.0,
                    "y": 335.419
                  },
                  {
                    "x": 2557.386,
                    "y": 503.165
                  },
                  {
                    "x": 2320.596,
                    "y": 503.103
                  },
                  {
                    "x": 2156.083,
                    "y": 628.943
                  },
                  {
                    "x": 2161.111,
                    "y": 785.519
                  },
                  {
                    "x": 2002.115,
                    "y": 894.647
                  },
                  {
                    "x": 1838.456,
                    "y": 877.874
                  },
                  {
                    "x": 1436.53,
                    "y": 874.636
                  },
                  {
                    "x": 1411.403,
                    "y": 758.579
                  },
                  {
                    "x": 1353.853,
                    "y": 751.74
                  },
                  {
                    "x": 1345.264,
                    "y": 453.461
                  },
                  {
                    "x": 1426.011,
                    "y": 421.129
                  },
                  {
                    "x": 1489.581,
                    "y": 183.934
                  }
                ]
              },
              {
                "feature_id": "clur5tlyr1n2n07dc4qot5gbx",
                "feature_schema_id": "cltd3vkc1019r07ts2lru4hi4",
                "name": "bounding_box",
                "value": "bounding_box",
                "annotation_kind": "ImageBoundingBox",
                "classifications": [],
                "bounding_box": {
                  "top": 977.0,
                  "left": 1690.0,
                  "height": 330.0,
                  "width": 225.0
                }
              },
              {
                "feature_id": "clur5tlyr1n2q07dc5joc4k7u",
                "feature_schema_id": "cltd3vkc101a107ts95sk63u0",
                "name": "mask",
                "value": "mask",
                "annotation_kind": "ImageSegmentationMask",
                "classifications": [],
                "mask": {
                  "url": "https://api.labelbox.com/api/v1/projects/cltd3vkju021907u63w2odj69/annotations/clur5tlyr1n2q07dc5joc4k7u/index/1/mask"
                },
                "composite_mask": {
                  "url": "https://api.labelbox.com/api/v1/tasks/clur6dp8r04ul07wrgp9q4pla/masks/clur5tlyr1n2o07dc99lw3r8p/index/1",
                  "color_rgb": [
                    10,
                    10,
                    125
                  ]
                }
              },
              {
                "feature_id": "clur5tlyr1n2r07dc6ym4d4mc",
                "feature_schema_id": "cltd3vkc201a307tsforlev07",
                "name": "mask_with_text_subclass",
                "value": "mask_with_text_subclass",
                "annotation_kind": "ImageSegmentationMask",
                "classifications": [
                  {
                    "feature_id": "clur5tlyr1n2x07dc84a12l8i",
                    "feature_schema_id": "cltd3vkc201a407tsfo3agh7x",
                    "name": "sub_free_text",
                    "value": "sub_free_text",
                    "text_answer": {
                      "content": "free text answer sample"
                    }
                  }
                ],
                "mask": {
                  "url": "https://api.labelbox.com/api/v1/projects/cltd3vkju021907u63w2odj69/annotations/clur5tlyr1n2r07dc6ym4d4mc/index/1/mask"
                },
                "composite_mask": {
                  "url": "https://api.labelbox.com/api/v1/tasks/clur6dp8r04ul07wrgp9q4pla/masks/clur5tlyr1n2o07dc99lw3r8p/index/1",
                  "color_rgb": [
                    105,
                    136,
                    97
                  ]
                }
              },
              {
                "feature_id": "clur5tlyr1n2s07dc739a6kqs",
                "feature_schema_id": "cltd3vkc201a307tsforlev07",
                "name": "mask_with_text_subclass",
                "value": "mask_with_text_subclass",
                "annotation_kind": "ImageSegmentationMask",
                "classifications": [
                  {
                    "feature_id": "clur5tlyr1n2w07dccdv0g7gg",
                    "feature_schema_id": "cltd3vkc201a407tsfo3agh7x",
                    "name": "sub_free_text",
                    "value": "sub_free_text",
                    "text_answer": {
                      "content": "free text answer sample"
                    }
                  }
                ],
                "mask": {
                  "url": "https://api.labelbox.com/api/v1/projects/cltd3vkju021907u63w2odj69/annotations/clur5tlyr1n2s07dc739a6kqs/index/1/mask"
                },
                "composite_mask": {
                  "url": "https://api.labelbox.com/api/v1/tasks/clur6dp8r04ul07wrgp9q4pla/masks/clur5tlyr1n2o07dc99lw3r8p/index/1",
                  "color_rgb": [
                    7,
                    85,
                    11
                  ]
                }
              },
              {
                "feature_id": "clur5tlyr1n2t07dc0oxlgoc8",
                "feature_schema_id": "cltd3vkc201a307tsforlev07",
                "name": "mask_with_text_subclass",
                "value": "mask_with_text_subclass",
                "annotation_kind": "ImageSegmentationMask",
                "classifications": [
                  {
                    "feature_id": "clur5tlyr1n3107dccy5pbudr",
                    "feature_schema_id": "cltd3vkc201a407tsfo3agh7x",
                    "name": "sub_free_text",
                    "value": "sub_free_text",
                    "text_answer": {
                      "content": "free text answer sample"
                    }
                  }
                ],
                "mask": {
                  "url": "https://api.labelbox.com/api/v1/projects/cltd3vkju021907u63w2odj69/annotations/clur5tlyr1n2t07dc0oxlgoc8/index/1/mask"
                },
                "composite_mask": {
                  "url": "https://api.labelbox.com/api/v1/tasks/clur6dp8r04ul07wrgp9q4pla/masks/clur5tlyr1n2o07dc99lw3r8p/index/1",
                  "color_rgb": [
                    35,
                    34,
                    212
                  ]
                }
              },
              {
                "feature_id": "clur5tlyr1n2u07dc5wjmdm3v",
                "feature_schema_id": "cltd3vkc101a107ts95sk63u0",
                "name": "mask",
                "value": "mask",
                "annotation_kind": "ImageSegmentationMask",
                "classifications": [],
                "mask": {
                  "url": "https://api.labelbox.com/api/v1/projects/cltd3vkju021907u63w2odj69/annotations/clur5tlyr1n2u07dc5wjmdm3v/index/1/mask"
                },
                "composite_mask": {
                  "url": "https://api.labelbox.com/api/v1/tasks/clur6dp8r04ul07wrgp9q4pla/masks/clur5tlyr1n2o07dc99lw3r8p/index/1",
                  "color_rgb": [
                    232,
                    194,
                    86
                  ]
                }
              }
            ],
            "classifications": [
              {
                "feature_id": "clur5tlyr1n2e07dc2bez8p1u",
                "feature_schema_id": "cltd3vkc201ar07ts3gq6a6sn",
                "name": "nested_radio_question",
                "value": "nested_radio_question",
                "radio_answer": {
                  "feature_id": "clur5tlyr1n3307dcexth5ff7",
                  "feature_schema_id": "cltd3vkc201as07tsh2prgosu",
                  "name": "first_radio_answer",
                  "value": "first_radio_answer",
                  "classifications": [
                    {
                      "feature_id": "clur5tlyr1n3407dc306b5xib",
                      "feature_schema_id": "cltd3vkc201at07tsdjx9dlbw",
                      "name": "sub_radio_question",
                      "value": "sub_radio_question",
                      "radio_answer": {
                        "feature_id": "clur5tlyr1n3507dcef304jmb",
                        "feature_schema_id": "cltd3vkc201au07ts7nk47qny",
                        "name": "first_sub_radio_answer",
                        "value": "first_sub_radio_answer",
                        "classifications": []
                      }
                    }
                  ]
                }
              },
              {
                "feature_id": "clur5tlyr1n2g07dc7wdv7p5z",
                "feature_schema_id": "cltd3vkc201ap07ts58gma0bb",
                "name": "free_text",
                "value": "free_text",
                "text_answer": {
                  "content": "sample text"
                }
              },
              {
                "feature_id": "clur5tlyr1n2i07dcd8lx87be",
                "feature_schema_id": "cltd3vkc201az07ts7st3fn79",
                "name": "nested_checklist_question",
                "value": "nested_checklist_question",
                "checklist_answers": [
                  {
                    "feature_id": "clur5tlyr1n3207dc4u4nfg08",
                    "feature_schema_id": "cltd3vkc201b007tsdhs07baf",
                    "name": "first_checklist_answer",
                    "value": "first_checklist_answer",
                    "classifications": [
                      {
                        "feature_id": "clur5tlyr1n3707dc2cy805ac",
                        "feature_schema_id": "cltd3vkc201b107ts12b1al1j",
                        "name": "sub_checklist_question",
                        "value": "sub_checklist_question",
                        "checklist_answers": [
                          {
                            "feature_id": "clur5tlyr1n3807dcgpgih5qj",
                            "feature_schema_id": "cltd3vkc201b207ts434b9iyx",
                            "name": "first_sub_checklist_answer",
                            "value": "first_sub_checklist_answer",
                            "classifications": []
                          }
                        ]
                      }
                    ]
                  }
                ]
              },
              {
                "feature_id": "clur5tlyr1n2k07dcezk08npu",
                "feature_schema_id": "cltd3vkc201ad07ts3t78873p",
                "name": "radio_question",
                "value": "radio_question",
                "radio_answer": {
                  "feature_id": "clur5tlyr1n2y07dcajpyg0d4",
                  "feature_schema_id": "cltd3vkc201ag07tsfoc2bdpi",
                  "name": "second_radio_answer",
                  "value": "second_radio_answer",
                  "classifications": []
                }
              },
              {
                "feature_id": "clur5tlyr1n2p07dchs791672",
                "feature_schema_id": "cltd3vkc201aj07tsait4cbzh",
                "name": "checklist_question",
                "value": "checklist_question",
                "checklist_answers": [
                  {
                    "feature_id": "clur5tlyr1n2z07dc3abv19e8",
                    "feature_schema_id": "cltd3vkc201ak07tsfqxc740z",
                    "name": "first_checklist_answer",
                    "value": "first_checklist_answer",
                    "classifications": []
                  },
                  {
                    "feature_id": "clur5tlyr1n3007dc4vbr0628",
                    "feature_schema_id": "cltd3vkc201am07ts7s9e7x7k",
                    "name": "second_checklist_answer",
                    "value": "second_checklist_answer",
                    "classifications": []
                  }
                ]
              }
            ],
            "relationships": [
              {
                "feature_id": "clur69pfa00023b6rkftlkucz",
                "feature_schema_id": "cltd3vkc201ab07ts1f9dhpkt",
                "name": "relationship",
                "value": "relationship",
                "annotation_kind": "ImageUnidirectionalRelationship",
                "classifications": [],
                "unidirectional_relationship": {
                  "source": "clur5tlyq1n2d07dcg9xldg90",
                  "target": "clur5tlyr1n2l07dc1jsf15qo"
                }
              }
            ]
          }
        }
      ],
      "project_details": {
        "ontology_id": "cltd3vkbb019q07ts23eedy4o",
        "task_id": "a384279a-45c0-4200-b85a-3c18469b3809",
        "task_name": "Initial review task",
        "batch_id": "3f724e20-da3d-11ee-86a4-0145011952fd",
        "batch_name": "image-demo-batch",
        "workflow_status": "IN_REVIEW",
        "priority": 1,
        "consensus_expected_label_count": 1,
        "workflow_history": [
          {
            "action": "Move",
            "created_at": "2024-04-08T16:21:26.492+00:00",
            "created_by": "[email protected]",
            "previous_task_name": "Initial labeling task",
            "previous_task_id": "22ee463b-fbe3-0791-8159-94083be9dee3",
            "next_task_name": "Initial review task",
            "next_task_id": "a384279a-45c0-4200-b85a-3c18469b3809"
          },
          {
            "action": "Move",
            "created_at": "2024-04-08T16:21:26.481+00:00",
            "created_by": "[email protected]",
            "next_task_name": "Initial labeling task",
            "next_task_id": "22ee463b-fbe3-0791-8159-94083be9dee3"
          }
        ]
      },
      "project_tags": []
    }
  }
}

Sample model run export

{
  "data_row": {
    "id": "clo78lhhn3dxb07322mnn8plu",
    "global_key": "2560px-Kitano_Street_Kobe01s.jpeg",
    "row_data": "https://storage.googleapis.com/labelbox-datasets/image_sample_data/2560px-Kitano_Street_Kobe01s5s4110.jpeg",
    "details": {
      "dataset_id": "clo78lg8f003007321fe52lje",
      "dataset_name": "image_prediction_demo",
      "created_at": "2023-10-26T13:45:24.929+00:00",
      "updated_at": "2023-10-26T13:45:25.965+00:00",
      "created_by": "[email protected]"
    }
  },
  "media_attributes": {
    "height": 1707,
    "width": 2560,
    "mime_type": "image/jpeg",
    "exif_rotation": "1"
  },
  "attachments": [],
  "metadata_fields": [],
   "embeddings": [
    {
      "id": "cn1cywy1r077807zblvo0m884",
      "name": "my_custom_embedding_2048_dimensions",
      "dimensions": 2048,
      "is_custom": true,
      "values": [
        {
          "value": [
            1.1265901290930636,
            1.0413733599834287,
            1.3041214120015427,
            1.893491997791636 ... 
          ]
        }
      ]
    },
    {
      "id": "c200000000000000000000000",
      "name": "Image Embedding V2 (CLIP ViT-B/32)",
      "dimensions": 512,
      "is_custom": false,
      "values": [
        {
          "value": [
            -0.4192526042461395,
            -0.048827216029167175 ...
          ]
        }
      ]
    }
  ],
  "experiments": {
    "a2fb1fec-83fb-0858-2cfb-98f4757eae95": {
      "name": "image_model_run_3e5bf56c-31a4-4eed-a731-9ca85e783225",
      "runs": {
        "a2fb1fec-b8a5-0f96-b61e-0d5643fb8dec": {
          "name": "iteration 1",
          "run_data_row_id": "42630da9-0dc4-462b-9aa0-5a17e85ff46a",
          "labels": [
            {
              "label_kind": "Default",
              "version": "1.0.0",
              "id": "clpk3h87e005r14vsp4c33sfq",
              "annotations": {
                "objects": [
                  {
                    "feature_id": "164937d0-7bb2-0f03-8031-34b57799736b",
                    "feature_schema_id": "clpk3gs0t054y07vig605dopr",
                    "name": "polygon",
                    "value": "polygon",
                    "annotation_kind": "ImagePolygon",
                    "classifications": [],
                    "polygon": [
                      {
                        "x": 1489.581,
                        "y": 183.934
                      },
                      {
                        "x": 2278.306,
                        "y": 256.885
                      },
                      {
                        "x": 2428.197,
                        "y": 200.437
                      },
                      {
                        "x": 2560.0,
                        "y": 335.419
                      },
                      {
                        "x": 2557.386,
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                      },
                      {
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                      },
                      {
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                      },
                      {
                        "x": 2002.115,
                        "y": 894.647
                      },
                      {
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                        "y": 877.874
                      },
                      {
                        "x": 1436.53,
                        "y": 874.636
                      },
                      {
                        "x": 1411.403,
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                      },
                      {
                        "x": 1353.853,
                        "y": 751.74
                      },
                      {
                        "x": 1345.264,
                        "y": 453.461
                      },
                      {
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                      },
                      {
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                    ]
                  },
                  {
                    "feature_id": "2738b5f8-e586-0090-974a-59b6c9b46ee2",
                    "feature_schema_id": "clpk3gs0t055207vi1baq8bke",
                    "name": "mask_with_text_subclass",
                    "value": "mask_with_text_subclass",
                    "annotation_kind": "ImageSegmentationMask",
                    "classifications": [
                      {
                        "feature_id": "9001b75c-bb70-0b40-afbf-9479ecfa9f99",
                        "feature_schema_id": "clpk3gs0t055307vi90s32rhi",
                        "name": "sub_free_text",
                        "value": "sub_free_text",
                        "text_answer": {
                          "content": "free text answer"
                        }
                      }
                    ],
                    "mask": {
                      "url": "https://api.labelbox.com/api/v1/models/a2fb1fec-83fb-0858-2cfb-98f4757eae95/annotations/2738b5f8-e586-0090-974a-59b6c9b46ee2/index/1/mask"
                    },
                    "composite_mask": {
                      "url": "https://api.labelbox.com/api/v1/tasks/clur6mb7a0dz107xod5w53p61/masks/clpk3h7uk005114vsgru34yw7/index/1",
                      "color_rgb": [
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                    }
                  },
                  {
                    "feature_id": "4defcaa5-623f-0589-932a-b703e1116fa4",
                    "feature_schema_id": "clpk3gs0t055807vi49uy1rcm",
                    "name": "polyline",
                    "value": "polyline",
                    "annotation_kind": "ImagePolyline",
                    "classifications": [],
                    "line": [
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                        "y": 249.471
                      },
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                      },
                      {
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                      {
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                      },
                      {
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                      {
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                      },
                      {
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                      },
                      {
                        "x": 368.087,
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                      },
                      {
                        "x": 246.557,
                        "y": 167.286
                      },
                      {
                        "x": 236.648,
                        "y": 285.61
                      },
                      {
                        "x": 90.929,
                        "y": 326.412
                      }
                    ]
                  },
                  {
                    "feature_id": "7d129546-45a6-060b-918e-35caec234d31",
                    "feature_schema_id": "clpk3gs0s054s07vi3ddo8had",
                    "name": "bbox_with_radio_subclass",
                    "value": "bbox_with_radio_subclass",
                    "annotation_kind": "ImageBoundingBox",
                    "classifications": [
                      {
                        "feature_id": "cccba37c-b7a8-095b-8679-dd20aece6f90",
                        "feature_schema_id": "clpk3gs0s054t07vi17aih47e",
                        "name": "sub_radio_question",
                        "value": "sub_radio_question",
                        "radio_answer": {
                          "feature_id": "ea336ea5-041c-02b6-9e8b-6ac1098351b1",
                          "feature_schema_id": "clpk3gs0s054u07vicrttdlgj",
                          "name": "first_sub_radio_answer",
                          "value": "first_sub_radio_answer",
                          "classifications": []
                        }
                      }
                    ],
                    "bounding_box": {
                      "top": 933.0,
                      "left": 541.0,
                      "height": 191.0,
                      "width": 330.0
                    }
                  },
                  {
                    "feature_id": "a3e0496d-3963-0d40-af89-48a907fbb48d",
                    "feature_schema_id": "clpk3gs0s054q07vi3c30d1be",
                    "name": "bounding_box",
                    "value": "bounding_box",
                    "annotation_kind": "ImageBoundingBox",
                    "classifications": [],
                    "bounding_box": {
                      "top": 977.0,
                      "left": 1690.0,
                      "height": 330.0,
                      "width": 225.0
                    }
                  },
                  {
                    "feature_id": "f2fc7c1f-7f10-0fc2-b676-fa2591f51a27",
                    "feature_schema_id": "clpk3gs0t055607vi59sshqn0",
                    "name": "point",
                    "value": "point",
                    "annotation_kind": "ImagePoint",
                    "classifications": [],
                    "point": {
                      "x": 1166.606,
                      "y": 1441.768
                    }
                  },
                  {
                    "feature_id": "fb60f23f-8ae1-05b3-a4d8-353839975d59",
                    "feature_schema_id": "clpk3gs0t055007vi4h7fgm59",
                    "name": "mask",
                    "value": "mask",
                    "annotation_kind": "ImageSegmentationMask",
                    "classifications": [],
                    "mask": {
                      "url": "https://api.labelbox.com/api/v1/models/a2fb1fec-83fb-0858-2cfb-98f4757eae95/annotations/fb60f23f-8ae1-05b3-a4d8-353839975d59/index/1/mask"
                    },
                    "composite_mask": {
                      "url": "https://api.labelbox.com/api/v1/tasks/clur6mb7a0dz107xod5w53p61/masks/clpk3h7uk005114vsgru34yw7/index/1",
                      "color_rgb": [
                        186,
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                  }
                ],
                "classifications": [
                  {
                    "feature_id": "1be71b85-08da-0ade-bbe4-cfdd431d3e8a",
                    "feature_schema_id": "clpk3gs0t055g07viaine2doh",
                    "name": "checklist_question",
                    "value": "checklist_question",
                    "checklist_answers": [
                      {
                        "feature_id": "0104948e-7be5-032d-80ca-87d052346618",
                        "feature_schema_id": "clpk3gs0t055j07vi4h3y9wso",
                        "name": "second_checklist_answer",
                        "value": "second_checklist_answer",
                        "classifications": []
                      },
                      {
                        "feature_id": "cb587406-5db3-0de2-99f0-cf6e6c344f43",
                        "feature_schema_id": "clpk3gs0t055h07vi1hp0acnb",
                        "name": "first_checklist_answer",
                        "value": "first_checklist_answer",
                        "classifications": []
                      }
                    ]
                  },
                  {
                    "feature_id": "5b1f4994-1bad-03a1-bf0f-1a0b4682ea25",
                    "feature_schema_id": "clpk3gs0t055m07vi53ow6auc",
                    "name": "free_text",
                    "value": "free_text",
                    "text_answer": {
                      "content": "sample text"
                    }
                  },
                  {
                    "feature_id": "88f8cd4d-e1ca-0add-a7e8-a7349def31bc",
                    "feature_schema_id": "clpk3gs0t055a07vifk5701ua",
                    "name": "radio_question",
                    "value": "radio_question",
                    "radio_answer": {
                      "feature_id": "ee141c0d-064f-0de8-b746-e61ac14fbe62",
                      "feature_schema_id": "clpk3gs0t055d07vibryq8f4l",
                      "name": "second_radio_answer",
                      "value": "second_radio_answer",
                      "classifications": []
                    }
                  },
                  {
                    "feature_id": "cc8e57d8-5080-0b43-bab1-6e4d78b684de",
                    "feature_schema_id": "clpk3gs0t055o07vifjxs63xi",
                    "name": "nested_radio_question",
                    "value": "nested_radio_question",
                    "radio_answer": {
                      "feature_id": "81690da4-5cb5-037f-9a7b-3dd7fefc5481",
                      "feature_schema_id": "clpk3gs0t055p07vigvkkeii3",
                      "name": "first_radio_answer",
                      "value": "first_radio_answer",
                      "classifications": [
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                          "feature_id": "37453082-23dd-0c38-bdcb-90705102bc6e",
                          "feature_schema_id": "clpk3gs0t055q07vifyau26jb",
                          "name": "sub_radio_question",
                          "value": "sub_radio_question",
                          "radio_answer": {
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                            "feature_schema_id": "clpk3gs0t055r07vi406q70ga",
                            "name": "first_sub_radio_answer",
                            "value": "first_sub_radio_answer",
                            "classifications": []
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                  },
                  {
                    "feature_id": "f1d18441-41cd-0ff7-9f4f-75384e5a7b51",
                    "feature_schema_id": "clpk3gs0u055w07vifjngez8o",
                    "name": "nested_checklist_question",
                    "value": "nested_checklist_question",
                    "checklist_answers": [
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                        "feature_id": "a3c8745f-8151-0256-8b6d-8ac449797fd7",
                        "feature_schema_id": "clpk3gs0u055x07vibwdt1pk3",
                        "name": "first_checklist_answer",
                        "value": "first_checklist_answer",
                        "classifications": [
                          {
                            "feature_id": "aa00a3ff-1af4-038a-9be5-97a468656bc5",
                            "feature_schema_id": "clpk3gs0u055y07vi3srh1g0l",
                            "name": "sub_checklist_question",
                            "value": "sub_checklist_question",
                            "checklist_answers": [
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                                "feature_id": "0608a0d7-d9d9-0347-843b-3297e58a25dc",
                                "feature_schema_id": "clpk3gs0u055z07vifkpvgap4",
                                "name": "first_sub_checklist_answer",
                                "value": "first_sub_checklist_answer",
                                "classifications": []
                              }
                            ]
                          }
                        ]
                      }
                    ]
                  }
                ],
                "relationships": []
              }
            }
          ],
          "predictions": [
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              "label_kind": "Default",
              "version": "1.0.0",
              "id": "clpk3h87e005r14vsp4c33sfq",
              "annotations": {
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                    "name": "bounding_box",
                    "value": "bounding_box",
                    "annotation_kind": "ImageBoundingBox",
                    "classifications": [],
                    "bounding_box": {
                      "top": 977.0,
                      "left": 1690.0,
                      "height": 330.0,
                      "width": 225.0
                    }
                  },
                  {
                    "feature_id": "37415b2f-f376-47b9-8f6a-6429c3efa6af",
                    "feature_schema_id": "clpk3gs0t054y07vig605dopr",
                    "name": "polygon",
                    "value": "polygon",
                    "annotation_kind": "ImagePolygon",
                    "classifications": [],
                    "polygon": [
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                    "value": "point",
                    "annotation_kind": "ImagePoint",
                    "classifications": [],
                    "point": {
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                  },
                  {
                    "feature_id": "671736d6-7c30-4399-bec4-a8a1779abf4d",
                    "feature_schema_id": "clpk3gs0t055007vi4h7fgm59",
                    "name": "mask",
                    "value": "mask",
                    "annotation_kind": "ImageSegmentationMask",
                    "classifications": [],
                    "mask": {
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                    },
                    "composite_mask": {
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                      "color_rgb": [
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                  },
                  {
                    "feature_id": "7e103ed1-f66f-4cf9-9a36-3e08be3a9648",
                    "feature_schema_id": "clpk3gs0t055807vi49uy1rcm",
                    "name": "polyline",
                    "value": "polyline",
                    "annotation_kind": "ImagePolyline",
                    "classifications": [],
                    "line": [
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                        "y": 249.471
                      },
                      {
                        "x": 2429.492,
                        "y": 182.092
                      },
                      {
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