LabelBox is an enterprise labeling solution. Their key differentiator is that you can bring your own labeling team and host their software on-premises behind your company's firewall. This is important for sensitive domains where labeling needs to be done by a specially trained expert (for example, aerospace and defense).
If you have labeled a video, they will export a JSON file containing the annotations for each frame. Roboflow Pro supports importing LabelBox Video JSON annotations and can convert them to any format your machine learning model requires.
Below, learn the structure of LabelBox Video JSON.
[{
"frameNumber": 1,
"classifications": [],
"objects": [{
"featureId": "ckikg6eriqgb",
"schemaId": "ckikenbqvmx8",
"title": "Helmet",
"value": "helmet",
"color": "#008941",
"bbox": {
"top": 49,
"left": 861,
"height": 78,
"width": 168
},
"classifications": []
}, {
"frameNumber": 2,
"classifications": [],
"objects": [{
"featureId": "ckikg6eriqgc",
"schemaId": "ckikenbqvmx8",
"title": "Person",
"value": "person",
"color": "#CC0041",
"bbox": {
"top": 149,
"left": 63,
"height": 24,
"width": 68
},
"classifications": []
}, {
"featureId": "ckikg6lvs27l",
"schemaId": "ckikenbqvmx8",
"title": "Helmet",
"value": "helmet",
"color": "#008941",
"bbox": {
"top": 662,
"left": 597,
"height": 162,
"width": 266
},
"classifications": []
}]
}]With Roboflow supervision, an open source Python package with utilities for completing computer vision tasks, you can merge and split detections in LabelBox Video JSON. Read our dedicated guides to learn how to merge and split LabelBox Video JSON detections.
Below, see model architectures that require data in the LabelBox Video JSON format when training a new model.
On each page below, you can find links to our guides that show how to plot predictions from the model, and complete other common tasks like detecting small objects with the model.