Scale AI JSON
to
YOLOv8 PyTorch TXT
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.
With Roboflow, you can deploy a computer vision model without having to build your own infrastructure.
The
models all use the
data format.
[
{
"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
}
]