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.
With Roboflow, you can deploy a computer vision model without having to build your own infrastructure.
Below, we show how to convert data to and from
SuperAnnotate JSON
. We also list popular models that use the
SuperAnnotate JSON
data format. Our conversion tools are free to use.
Free data conversion
SOC II Type 2 Compliant
Trusted by 250,000+ developers
Free data conversion
SOC II Type 1 Compliant
Trusted by 250,000+ developers
The
models all use the
data format.
{
"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
}]
}
[{
"attribute_groups": [],
"color": "#32a852",
"id": 1,
"name": "no-mask",
"opened": true
}, {
"attribute_groups": [],
"color": "#d6d619",
"id": 2,
"name": "mask",
"opened": true
}]