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VGG Image Annotator JSON
VGG Image Annotator JSON

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.

VGG Image Annotator JSON

CONVERT To
CONVERT From
MODELS
EXAMPLE
Use Roboflow to convert
VGG Image Annotator JSON
to the following formats.
VGG Image Annotator JSON
 to 
Pascal VOC XML
VGG Image Annotator JSON
 to 
Tensorflow TFRecord
VGG Image Annotator JSON
 to 
COCO JSON
VGG Image Annotator JSON
 to 
YOLO Darknet TXT
VGG Image Annotator JSON
 to 
CreateML JSON
VGG Image Annotator JSON
 to 
YOLOv5 PyTorch TXT
VGG Image Annotator JSON
 to 
Google Cloud AutoML Vision CSV
VGG Image Annotator JSON
 to 
Sagemaker GroundTruth Manifest
VGG Image Annotator JSON
 to 
YOLO Keras TXT
VGG Image Annotator JSON
 to 
RetinaNet Keras CSV
VGG Image Annotator JSON
 to 
Tensorflow Object Detection CSV
VGG Image Annotator JSON
 to 
Multiclass Classification CSV
VGG Image Annotator JSON
 to 
YOLOv4 PyTorch TXT
Use Roboflow to convert the following formats to
VGG Image Annotator JSON
format.
Here are pre-configured models that use
VGG Image Annotator JSON
. 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.
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": {}
    }
}