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Scale AI JSON
Scale AI JSON

Once you're ready to get serious about a computer vision project, you are probably going to need to outsource your labeling. One popular service for this is Scale.com. Unfortunately, the results they send back are not in a format that is ready to go into common machine learning models.

That's where Roboflow comes in. Simply drop in the JSON files you receive from Scale's human annotators and we'll convert them to whatever format you need for your model.

Scale AI JSON

CONVERT To
CONVERT From
MODELS
EXAMPLE
Use Roboflow to convert
Scale AI JSON
to the following formats.
Scale AI JSON
 to 
COCO JSON
Scale AI JSON
 to 
Pascal VOC XML
Scale AI JSON
 to 
Tensorflow TFRecord
Scale AI JSON
 to 
CreateML JSON
Scale AI JSON
 to 
YOLO Darknet TXT
Scale AI JSON
 to 
YOLOv7 PyTorch TXT
Scale AI JSON
 to 
YOLOv5 PyTorch TXT
Scale AI JSON
 to 
Sagemaker GroundTruth Manifest
Scale AI JSON
 to 
Google Cloud AutoML Vision CSV
Scale AI JSON
 to 
meituan/yolov6
Scale AI JSON
 to 
Scaled-YOLOv4 TXT
Scale AI JSON
 to 
YOLO Keras TXT
Scale AI JSON
 to 
OpenAI CLIP Classification
Scale AI JSON
 to 
RetinaNet Keras CSV
Scale AI JSON
 to 
Tensorflow Object Detection CSV
Scale AI JSON
 to 
Multiclass Classification CSV
Scale AI JSON
 to 
YOLOv4 PyTorch TXT
Scale AI JSON
 to 
YOLOv5 Oriented Bounding Boxes
Use Roboflow to convert the following formats to
Scale AI JSON
format.
Here are pre-configured models that use
Scale AI 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.
scale.ai.json
[
  {
    "task_id": "a9b7c5d3e1f",
    "created_at": "2000-01-01T00:00:00.000Z",
    "completed_at": "2000-01-01T00:00:00.000Z",
    "callback_url": "example@example.com",
    "type": "annotation",
    "status": "completed",
    "instruction": "\n# Instructions\n\nLabel the helmets on the workers.",
    "params": {
      "attachment": "https://storage.googleapis.com/roboflow/0001.jpg",
      "attachment_type": "image",
      "objects_to_annotate": [
        "helmet",
        "head",
        "person"
      ],
      "with_labels": true,
      "min_width": 0,
      "min_height": 0,
      "examples": []
    },
    "is_test": false,
    "urgency": "standard",
    "metadata": {},
    "callback_succeeded": true,
    "processed_attachments": [],
    "project": "Hard Hat Workers",
    "response": {
      "annotations": [
        {
          "width": 189,
          "height": 144,
          "label": "helmet",
          "left": 1374,
          "top": 2128
        },
        {
          "width": 157,
          "height": 122,
          "label": "person",
          "left": 1427,
          "top": 2409
        }
      ]
    },
    "project_param_version": 0,
    "scale_internal_attachment": "https://d2qt2k6tuv6mdh.cloudfront.net/a9b7c5d3e1f/001.jpg",
    "workStarted": true
  }
]