The Visual Geometry Group (VGG) at the University of Oxford released an open source annotation tool called VIA (VGG Image Annotator). It outputs its labels to CSV or JSON; Roboflow supports importing both and converting them to any other object detection format you like.
See our VGG Image Annotator Tutorial to learn how to use VIA to create object detection annotations.
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
VGG Image Annotator JSON
. We also list popular models that use the
VGG Image Annotator JSON
data format. Our conversion tools are free to use.
Free data conversion
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Free data conversion
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The
models all use the
data format.
{
"img0001": {
"filename": "img0001.png",
"size": 2512968,
"regions": [{
"shape_attributes": {
"name": "rect",
"x": 827,
"y": 890,
"width": 150,
"height": 651
},
"region_attributes": {
"type": "helmet"
}
}, {
"shape_attributes": {
"name": "rect",
"x": 1943,
"y": 875,
"width": 120,
"height": 639
},
"region_attributes": {
"type": "head"
}
}],
"file_attributes": {}
}
}