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VoTT JSON

What is VoTT JSON?

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.

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VoTT JSON

CONVERT To
CONVERT From
MODELS
EXAMPLE
Use Roboflow to convert
VoTT JSON
to the following formats.

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.
VoTT JSON
 to 
YOLOv8 PyTorch TXT
VoTT JSON
 to 
Tensorflow TFRecord
VoTT JSON
 to 
COCO JSON
VoTT JSON
 to 
Pascal VOC XML
VoTT JSON
 to 
YOLO Darknet TXT
VoTT JSON
 to 
CreateML JSON
VoTT JSON
 to 
YOLOv7 PyTorch TXT
VoTT JSON
 to 
YOLOv5 PyTorch TXT
VoTT JSON
 to 
Sagemaker GroundTruth Manifest
VoTT JSON
 to 
Google Cloud AutoML Vision CSV
VoTT JSON
 to 
meituan/yolov6
VoTT JSON
 to 
Scaled-YOLOv4 TXT
VoTT JSON
 to 
YOLO Keras TXT
VoTT JSON
 to 
OpenAI CLIP Classification
VoTT JSON
 to 
RetinaNet Keras CSV
VoTT JSON
 to 
Tensorflow Object Detection CSV
VoTT JSON
 to 
Multiclass Classification CSV
VoTT JSON
 to 
YOLOv4 PyTorch TXT
VoTT JSON
 to 
YOLOv5 Oriented Bounding Boxes
Use Roboflow to convert the following formats to
VoTT JSON
format.

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.
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
VoTT JSON
data format
.

What computer vision models use VoTT JSON?

The

No items found.

models all use the

VoTT 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.
vott.json
{
    "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"
}
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