LabelBox JSON
to
YOLOv8 PyTorch TXT
LabelBox hosts a free online "label it yourself" tool and is a popular solution for outsourced labeling. Their key differentiator is that you can bring your own labeling team. This is important for domains where labeling needs to be done by a specially trained expert (for example, labeling crop diseases or medical images).
You can export from LabelBox in two formats, CSV or JSON. No computer vision models will accept these formats directly. But fear not, Roboflow supports importing LabelBox JSON annotations and can convert them to any format your machine learning model requires.
With Roboflow, you can deploy a computer vision model without having to build your own infrastructure.
The
models all use the
data format.
[{
"ID": "a9b7c5d3e1f",
"DataRow ID": "xy10z8a6b4c",
"Labeled Data": "https://storage.labelbox.com/IMG_001.JPG",
"Label": {
"helmet": [{
"geometry": [{
"x": 690,
"y": 1497
}, {
"x": 931,
"y": 1497
}, {
"x": 931,
"y": 1633
}, {
"x": 690,
"y": 1633
}]
}, {
"geometry": [{
"x": 1079,
"y": 1445
}, {
"x": 1324,
"y": 1445
}, {
"x": 1324,
"y": 1564
}, {
"x": 1079,
"y": 1564
}]
}]
},
"Project Name": "Boggle",
"External ID": "IMG_001.JPG"
}]