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Supervisely JSON

What is Supervisely JSON?

Supervise.ly is a platform for computer vision that offers AI assisted labeling and integration with Jupyter notebooks.

Unfortunately, the platform is quite proprietary (including their JSON-based annotation format). This makes it hard to use your labeled data elsewhere. That's where Roboflow comes in! Export your labels from Supervisely and drop them into Roboflow to seamlessly convert them into any other format and use them with dozens of machine learning models.

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With Roboflow, you can deploy a computer vision model without having to build your own infrastructure.

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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 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

Google Cloud AutoML Vision CSV

Supervisely JSON

Sagemaker GroundTruth Manifest

OpenAI CLIP Classification

Supervisely JSON

RetinaNet Keras CSV

Supervisely JSON

Tensorflow Object Detection CSV

Supervisely JSON

Multiclass Classification CSV

Supervisely JSON

YOLOv4 PyTorch TXT

Supervisely JSON

YOLOv5 Oriented Bounding Boxes

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": []
            }
        }
    ]
}