VoTT (Visual Object Tagging Tool) is a popular open source annotation tool released my Microsoft. It lets you easily label image assets for use with object detection models. We have a full VoTT tutorial that shows the process of creating labels for your custom dataset.
The native format of VoTT is a proprietary JSON file that is not supported by any known models. Getting your VoTT-labeled dataset ready for training is where Roboflow comes in. Just import your images and annotations and select the format you want to convert it to and you'll be on your way to training a model in no time.
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
VoTT JSON
. We also list popular models that use the
VoTT 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.
{
"asset": {
"format": "jpg",
"id": "0a2ac9053d4d842653d3ff9f988421a6",
"name": "img0001.jpg",
"path": "file:D:/HardHats/img0001.jpg",
"size": {
"width": 612,
"height": 408
},
"state": 2,
"type": 1
},
"regions": [
{
"id": "XEhNEKjZT",
"type": "RECTANGLE",
"tags": [
"helmet"
],
"boundingBox": {
"height": 204,
"width": 505.5652173913043,
"left": 32.06688963210702,
"top": 143.9598662207358
},
"points": [
{
"x": 32.06688963210702,
"y": 143.9598662207358
},
{
"x": 537.6321070234113,
"y": 143.9598662207358
},
{
"x": 537.6321070234113,
"y": 347.95986622073576
},
{
"x": 32.06688963210702,
"y": 347.95986622073576
}
]
}
],
"version": "2.1.0"
}