Formats
Supervisely JSON

Supervisely JSON

Supervise.ly offers a computer vision platform and uses a proprietary JSON-based annotation format.
Formats

Supervisely JSON

Below, we show how to convert data to and from

Supervisely JSON

. We also list popular models that use the

Supervisely JSON

data format. Our conversion tools are free to use.

CONVERT To
CONVERT From
EXAMPLE

Convert Data to Supervisely JSON

Use Roboflow to convert
Supervisely JSON
to the following formats.

Roboflow is a trusted solution for converting and managing your data. Today, over 250,000 datasets are managed on Roboflow, comprised of 100 million labeled and annotated images.

With Roboflow, you get a solution with:

Free data conversion

SOC II Type 2 Compliant

Trusted by 250,000+ developers

Convert Data from Supervisely JSON

Use Roboflow to convert the following formats to
Supervisely JSON
format.

Roboflow is a trusted solution for converting and managing your data. Today, over 250,000 datasets are managed on Roboflow, comprised of 100 million labeled and annotated images.

With Roboflow, you get:

Free data conversion

SOC II Type 1 Compliant

Trusted by 250,000+ developers

Roboflow is a trusted solution for converting and managing your data. Today, over 100,000 datasets are managed on Roboflow, comprised of 100 million labeled and annotated images.

Once your data is in Roboflow, just add the link from your dataset and you're ready to go. We even include the code to export to common inference formats like TFLite, ONNX, and CoreML.

Below are pre-configured models that use the
Supervisely JSON
data format
.

What computer vision models use Supervisely JSON?

The

No items found.

models all use the

Supervisely JSON

data format.

We don't currently have models that use this annotation format.
To see our entire list of computer vision models, check out the Roboflow Model Library.
img0001.json
{
    "description": "",
    "tags": [
        {
            "id": 12345,
            "name": "train",
            "value": null,
            "labelerLogin": "roboflow",
            "createdAt": "2000-01-01T00:00:00.000Z",
            "updatedAt": "2000-01-01T00:00:00.000Z"
        }
    ],
    "size": {
        "height": 191,
        "width": 264
    },
    "objects": [
        {
            "id": 12345,
            "classId": 67890,
            "description": "",
            "geometryType": "polygon",
            "labelerLogin": "roboflow",
            "createdAt": "2000-01-01T00:00:00.000Z",
            "updatedAt": "2000-01-01T00:00:00.000Z",
            "tags": [],
            "classTitle": "helmet",
            "points": {
                "exterior": [
                    [
                        184,
                        30
                    ],
                    [
                        259,
                        30
                    ],
                    [
                        260,
                        134
                    ],
                    [
                        185,
                        131
                    ]
                ],
                "interior": []
            }
        },
        {
            "id": 12346,
            "classId": 67891,
            "description": "",
            "geometryType": "rectangle",
            "labelerLogin": "roboflow",
            "createdAt": "2000-01-01T00:00:00.000Z",
            "updatedAt": "2000-01-01T00:00:00.000Z",
            "tags": [],
            "classTitle": "person",
            "points": {
                "exterior": [
                    [
                        63,
                        49
                    ],
                    [
                        124,
                        62
                    ]
                ],
                "interior": []
            }
        }
    ]
}