Formats
VGG Image Annotator JSON

VGG Image Annotator JSON

The VGG Image Annotator tool's JSON format.
Formats

VGG Image Annotator JSON

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.

CONVERT To
CONVERT From
EXAMPLE

Convert Data from VGG Image Annotator JSON

Use Roboflow to convert the following formats to
VGG Image Annotator JSON
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
VGG Image Annotator JSON
data format
.

What computer vision models use VGG Image Annotator JSON?

The

No items found.

models all use the

VGG Image Annotator 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.
via_export_json.json
{
    "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": {}
    }
}