Formats

Supervisely JSON

CONVERT To
CONVERT From
MODELS
EXAMPLE
Use Roboflow to convert the following formats to
Supervisely JSON
format.
Here are pre-configured models that use
Supervisely JSON
. 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.
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": []
            }
        }
    ]
}