Image editor

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

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:

  • PNG
  • JPG
[ 
    { 
        "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


What’s Next

See our image annotations guide to view how each annotation can be used to label an image.

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