Image editor

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

Supported annotation types

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

JSON import

JSON 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

How it works

Editor component

Description

Superpixel

For Segmentation annotations with complex boundaries, using the Superpixel tool first may be more efficient than using the Pen tool alone. Superpixel works by calculating segment clusters of similarly colored pixels in the image.
In the top toolbar is a slider, which allows you to adjust the size of segment clusters from XS to XL. The easiest way to use Superpixel is to segment as much of the object as possible with Superpixel, then adjust the boundaries using the Pen and Eraser tools.
Calculation time for Superpixel segments increases with image size. We advise using images that are no more than 4000 by 4000 pixels.

The Superpixel tool is only available for Pro, Enterprise, and Educational licenses.

Pen tool

Use the Pen tool to outline the item in the image. Hold the cursor down to draw freehand or let the cursor go to draw straight lines between points. The Pen tool is only available when creating Segmentation annotations.

Fill tool

With the Fill tool, you can easily segment backgrounds or otherwise assign a segmentation annotation to all other pixels in the image that have not already been labeled. The fill tool is only enabled for Segmentation annotations.

To use the fill tool, click the droplet icon.

Draw over existing objects

The Draw over existing objects tool is on by default. When this tool is enabled, drawing a new Segmentation annotation over an existing annotation will overwrite previously classified pixels. When this tool is disabled, a new Segmentation annotation drawn over an existing annotation will be "drawn behind" the existing annotation.


What’s Next

See the JSON format for importing image data to Labelbox.

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