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SuperAnnotate JSON

What is SuperAnnotate JSON?

SuperAnnotate is a provider of outsourced labeling annotation services and develops a self-serve labeling tool (formerly known as annotate.online) which is available for download on Windows, Linux, and Mac. Their tool has support for advanced labeling functions like video frame annotation and using a trained model to pre-suggest annotations.

You can use Roboflow to convert SuperAnnotate's custom JSON format to any format your computer vision models expect.

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SuperAnnotate JSON

Use Roboflow to convert

SuperAnnotate JSON

to the following formats.

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.

Sagemaker GroundTruth Manifest

SuperAnnotate JSON

Google Cloud AutoML Vision CSV

OpenAI CLIP Classification

SuperAnnotate JSON

RetinaNet Keras CSV

SuperAnnotate JSON

Tensorflow Object Detection CSV

SuperAnnotate JSON

Multiclass Classification CSV

SuperAnnotate JSON

YOLOv4 PyTorch TXT

SuperAnnotate JSON

YOLOv5 Oriented Bounding Boxes

Use Roboflow to convert the following formats to

SuperAnnotate JSON

format.

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.

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

SuperAnnotate JSON

data format

What computer vision models use SuperAnnotate JSON?

The

No items found.

models all use the

SuperAnnotate 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.

annotations.json

{
    "mask.jpg": [{
        "type": "bbox",
        "classId": 1,
        "probability": 100,
        "points": {
            "x1": 67.8,
            "x2": 187.6,
            "y1": 166.6,
            "y2": 274.1
        },
        "groupId": 0,
        "pointLabels": {},
        "locked": false,
        "visible": true,
        "attributes": []
    }, {
        "type": "polyline",
        "classId": 2,
        "probability": 100,
        "points": [148.7, 321.1, 164.5, 328.3, 220.4, 335.5, 280.6, 344.8, 330.1, 341.9, 373.1, 330.5, 375.3, 336.2, 377.4, 369.9, 382.4, 384.9, 377.4, 409.3, 360.2, 425.1, 318.6, 451.6, 279.9, 473.8, 262.7, 488.2, 252, 499.6, 241.9, 502.5, 223.3, 496.8, 210.4, 486, 181.7, 453.8, 165.9, 443, 155.9, 431.5, 148, 419.4, 132.3, 410, 123.7, 397.8, 139.4, 346.2, 151.6, 319.7, 150.9, 321.1],
        "groupId": 0,
        "pointLabels": {},
        "locked": false,
        "visible": true,
        "attributes": []
    }, {
        "type": "polygon",
        "classId": 2,
        "probability": 100,
        "points": [493.7, 355.6, 506.1, 366.1, 567.3, 384.2, 648.5, 352.7, 649.5, 372.8, 659, 386.1, 649.5, 402.4, 631.3, 424.4, 618.9, 451.1, 612.2, 456.9, 585.4, 474.1, 570.1, 477.9, 552, 466.4, 527.1, 454, 491.8, 402.4, 494.6, 377.5, 493.7, 355.6],
        "groupId": 0,
        "pointLabels": {},
        "locked": false,
        "visible": true,
        "attributes": []
    }, {
        "type": "meta",
        "name": "lastAction",
        "timestamp": 1600628979793
    }]
}

classes.json

[{
    "attribute_groups": [],
    "color": "#32a852",
    "id": 1,
    "name": "no-mask",
    "opened": true
}, {
    "attribute_groups": [],
    "color": "#d6d619",
    "id": 2,
    "name": "mask",
    "opened": true
}]

What is SuperAnnotate JSON?

Deploy Models with Ease on Roboflow

SuperAnnotate JSON

What computer vision models use SuperAnnotate JSON?

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