When you attach an image dataset to a project, the Labelbox Editor will automatically adjust the Editor interface for image labeling.
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.
Free-form text classification
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.
The Superpixel tool is only available for Pro, Enterprise, and Educational licenses.
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.
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.
Updated 11 days ago
See the JSON format for importing image data to Labelbox.