Images

Guide for labeling image data.

Overview

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

For information on importing images to Labelbox, see our docs on Image import format.

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Max Data Row size

64MP is the max accepted Data Row size.

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

Import

Export

Bounding box

See reference

See reference

Segmentation mask

See reference

See reference

Polygon

See reference

See reference

Polyline

See reference

See reference

Point

See reference

See reference

Relationship

Coming soon

See reference

Radio classification

See reference

See reference

Checklist classification

See reference

See reference

Free-form text classification

See reference

See reference

Dropdown classification

Deprecated

Deprecated

Bounding box

Create a bounding box by starting at one corner and dragging your cursor to create the shape around an object in the image.

You can also click & drag to reposition the bounding box on the image.

Segmentation mask

When you are labeling an image with a segmentation mask, you have a handful of tools to help you create mask annotations more efficiently.

Auto-Segment (beta)
You can use the Auto-Segment tool to generate mask predictions for objects in your image. When a Segmentation tool is selected, choose the Auto-Segment option from the top navigation bar, and draw a box around the object you want to label.

For best results, draw the boundary of the box close to the object edges. You can also adjust the brightness and contrast settings in the Adjustments menu in the top navigation bar to further improve results. Creating more contrast between the object you are labeling and its background will help the model detect the object with greater accuracy.

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The Auto-Segment tool currently uses a proprietary model to generate predictions. Alternate models cannot yet be used with the Auto-Segment tool.

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. Click the pen icon with the plus sign to use the pen tool.

Pen toolPen tool

Pen tool

Erase tool

You can use the Erase tool to clean up the edges of a segmentation mask. Click the pen icon with the minus sign to use the erase tool.

Erase toolErase tool

Erase tool

Fill tool

You can use the fill tool to easily label 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.

Click the droplet icon to use the fill tool.

Polygon

Create a Polygon annotation by clicking to create each point in the shape. Click the first point to close the Polygon.

Polyline

Use the Polyline tool to label lines in an image. Click on the last point to complete the shape.

Point

Use the point tool to label precise locations on the image.

Relationship

To create a relationship between annotations, select a Relationship tool and hover over the annotation where you want the relationship to start to reveal the annotation's anchor points. Click an anchor point to create the starting point of the relationship, then bring your mouse over to the annotation you want to relate it to, hovering over it to reveal its anchor points. Finally, click one of the anchor points to complete the relationship.

Right-click a relationship to change its direction, make it bi-directional, or delete it from the asset.


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