When you attach an image dataset to a project, the Labelbox Editor will automatically adjust the Editor interface for image labeling.

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Import image data

This is the import format for image data. For more information on importing images, see our docs on Image import format.

Labelbox accepts the following file formats:

[ 
    { 
        "externalId": "2017-Tesla-Model-S-P90D-102.jpg", 
        "imageUrl": "https://storage.googleapis.com/labelbox-example-datasets/tesla/2017-Tesla-Model-S-P90D-102.jpg"
    }, 
    { 
        "externalId": "2017-Tesla-Model-3-top-view.jpg", 
        "imageUrl": "https://storage.googleapis.com/labelbox-example-datasets/tesla/2017-Tesla-Model-3-top-view.jpg"
    }
]

[
    {
        "externalId": "cells.jpg",
        "imageUrl": "https://lb-test-data.s3.us-west-1.amazonaws.com/cells.jpg"
    },
    {
        "externalId": "b17.jpg",
        "imageUrl": "https://lb-test-data.s3.us-west-1.amazonaws.com/B17.jpg"
    }
]

Supported annotation types for images

Below are the annotation types that you may include in your ontology for labeling image data. Classification-type annotations can be applied at the global level and/or nested within an object-type annotation.

Annotation type	Import	Export
Segmentation mask	See sample	See sample
Bounding box	See sample	See sample
Polygon	See sample	See sample
Polyline	See sample	See sample
Point	See sample	See sample
Radio classification	See sample	See sample
Checklist classification	See sample	See sample
Dropdown classification		See sample
Free-form text classification	See sample	See sample