Formats
Cogniac

Cogniac

A JSON annotation format used by Cogniac.
Formats

Cogniac

Below, we show how to convert data to and from

Cogniac

. We also list popular models that use the

Cogniac

data format. Our conversion tools are free to use.

CONVERT To
CONVERT From
EXAMPLE

Convert Data from Cogniac

Use Roboflow to convert the following formats to
Cogniac
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

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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
Cogniac
data format
.

What computer vision models use Cogniac?

The

No items found.

models all use the

Cogniac

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.

{
    "frame": 0,
    "filename": "./PATH_TO_FILE.ext",
    "object_name_1": [
        {
            "class_name_1": {
                "x0": 1334,
                "x1": 1657,
                "y0": 242,
                "y1": 553,
                "probability": 0.8974609375
            },
            "class_name_2": [],
            "class_name_3": []
        },
        {
            "class_name_1": {
                "x0": 7,
                "x1": 201,
                "y0": 31,
                "y1": 337,
                "probability": 0.87353515625
            },
            "class_name_2": [
                {
                    "text": "476240",
                    "x0": 137,
                    "x1": 156,
                    "y0": 128,
                    "y1": 206,
                    "probability": 0.755047082901001
                }
            ],
            "class_name_3": []
        },
        {
            "class_name_1": {
                "x0": 547,
                "x1": 844,
                "y0": 157,
                "y1": 442,
                "probability": 0.7021484375
            },
            "numbers": [],
            "initials": []
        }
    ],
    "object_name_2": [],
    "object_name_3": [],
    "object_name_4": [
        {
            "text": "36",
            "x0": 628,
            "x1": 728,
            "y0": 571,
            "y1": 641,
            "probability": 0.9057629108428955
        },
        {
            "text": "37",
            "x0": 987,
            "x1": 1101,
            "y0": 652,
            "y1": 730,
            "probability": 0.9051821231842041
        },
        {
            "text": "38",
            "x0": 1418,
            "x1": 1542,
            "y0": 757,
            "y1": 839,
            "probability": 0.9096717238426208
        }
    ]
}

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