Export results

Your annotations are stored in raw completion format inside my_project_name/completions directory, one file per labeled task named as task_id.json.

You can optionally convert and export raw completions to a more common format by doing one of the following:

• From /export page by choosing target format
• Applying converter tool to my_project_name/completions directory
• By using Export API

Basic format

The output data is stored in completions - JSON formatted files, one per each completed task saved in project directory in completions folder or in the "output_dir" option The example structure of completion is the following:

{
    "id": 1,

    "data": {
        "image": "https://htx-misc.s3.amazonaws.com/opensource/label-studio/examples/images/nick-owuor-astro-nic-visuals-wDifg5xc9Z4-unsplash.jpg"
    },
    
    "completions": [
        {
            "id": "1001",
            "lead_time": 15.053,
            "result": [
                {
                    "from_name": "tag",
                    "id": "Dx_aB91ISN",
                    "source": "$image",
                    "to_name": "img",
                    "type": "rectanglelabels",
                    "value": {
                        "height": 10.458911419423693,
                        "rectanglelabels": [
                            "Moonwalker"
                        ],
                        "rotation": 0,
                        "width": 12.4,
                        "x": 50.8,
                        "y": 5.869797225186766
                    }
                }
            ]
        }
    ],

    "predictions": [
        {
            "created_ago": "3 hours",
            "model_version": "model 1",
            "result": [
                {
                    "from_name": "tag",
                    "id": "t5sp3TyXPo",
                    "source": "$image",
                    "to_name": "img",
                    "type": "rectanglelabels",
                    "value": {
                        "height": 11.612284069097889,
                        "rectanglelabels": [
                            "Moonwalker"
                        ],
                        "rotation": 0,
                        "width": 39.6,
                        "x": 13.2,
                        "y": 34.702495201535505
                    }
                }
            ]
        },
        {
            "created_ago": "4 hours",
            "model_version": "model 2",
            "result": [
                {
                    "from_name": "tag",
                    "id": "t5sp3TyXPo",
                    "source": "$image",
                    "to_name": "img",
                    "type": "rectanglelabels",
                    "value": {
                        "height": 33.61228406909789,
                        "rectanglelabels": [
                            "Moonwalker"
                        ],
                        "rotation": 0,
                        "width": 39.6,
                        "x": 13.2,
                        "y": 54.702495201535505
                    }
                }
            ]
        }
    ]
}

completions

That’s where the list of labeling results per one task is stored.

id

Unique completion identifier

lead_time

Time in seconds spent to create this completion

result

Completion result data

id

Unique completion result identifier

from_name

Name of the tag that was used to label region (control tags)

to_name

Name of the object tag that provided the region to be labeled (object tags)

type

Type of the labeling/tag

value

Tag specific value that includes the labeling result details. The exact structure of value depends on the chosen labeling tag.
Explore each tag for more details.

data

Data copied from input task

id

Task identifier

predictions

Machine learning predictions (aka pre-labeling results). Follows the same format as completion, with some additional fields related to machine learning inference:

• score - the overall result score (probabilistic output, confidence level, etc.)

Export formats

JSON

List of items in raw completion format stored in JSON file

JSON_MIN

List of items where only "from_name", "to_name" values from raw completion format are kept:

{
  "image": "https://htx-misc.s3.amazonaws.com/opensource/label-studio/examples/images/nick-owuor-astro-nic-visuals-wDifg5xc9Z4-unsplash.jpg",
  "tag": [{
    "height": 10.458911419423693,
    "rectanglelabels": [
        "Moonwalker"
    ],
    "rotation": 0,
    "width": 12.4,
    "x": 50.8,
    "y": 5.869797225186766
  }]
}

CSV

Results are stored in comma-separated tabular file with column names specified by "from_name" "to_name" values

TSV

Results are stored in tab-separated tabular file with column names specified by "from_name" "to_name" values

CONLL2003

Popular format used for CoNLL-2003 named entity recognition challenge

COCO

Popular machine learning format used by COCO dataset for object detection and image segmentation tasks

Pascal VOC XML

Popular XML-formatted task data used for object detection and image segmentation tasks

Brush Labels to Numpy & PNG

Export your brushe labels to numpy 2d arrays and PNG images. One label is equal to one image.

Export using API

You can use an API to request a file with exported results, e.g.

curl http://localhost:8080/api/export?format=JSON > exported_results.tar.gz

The format parameter could be one of available export formats